diff --git "a/integrated_datasets/apc_datasets/100.CustomDataset/custom.train.txt" "b/integrated_datasets/apc_datasets/100.CustomDataset/custom.train.txt" deleted file mode 100644--- "a/integrated_datasets/apc_datasets/100.CustomDataset/custom.train.txt" +++ /dev/null @@ -1,4476 +0,0 @@ -the $T$ is designed very well. It covers data manipulation topics very well. It has excellent assignments which help in understanding the course concepts more better -course -Positive -the course is designed very well. It covers data manipulation $T$ very well. It has excellent assignments which help in understanding the course concepts more better -topics -Positive -the course is designed very well. It covers data manipulation topics very well. It has excellent $T$ which help in understanding the course concepts more better -assignments -Positive -Frankly, I did not watch the $T$ at all, although they seem good. The assignments were really great! Challenging and very rewarding. -lessons -Neutral -Frankly, I did not watch the lessons at all, although they seem good. The $T$ were really great! Challenging and very rewarding. -assignments -Positive -Great $T$ that teaches about how to process data in Python. The lectures are very code- based and the programming assignments help you learn new methods. -course -Positive -Great course that teaches about how to process data in Python. The $T$ are very code- based and the programming assignments help you learn new methods. -lectures -Positive -Great course that teaches about how to process data in Python. The lectures are very code- based and the programming $T$ help you learn new methods. -assignments -Positive -Excellent $T$ with assignments, But some elaborated videos on topics could help much better in solving the assignments in time. -course -Positive -Excellent course with assignments, But some elaborated $T$ on topics could help much better in solving the assignments in time. -videos -Neutral -Excellent course with assignments, But some elaborated videos on topics could help much better in solving the $T$ in time. -assignments -Negative -Tag for this $T$ should change Intermediate to Advanced level. Course is pretty good with challenging assignments but prerequisite, define in course are not match appropriate. Please, make changes above mention. -course -Neutral -Tag for this course should change Intermediate to Advanced level. Course is pretty good with challenging $T$ but prerequisite, define in course are not match appropriate. Please, make changes above mention. -assignments -Positive -$T$ questions were not clear. I made lot of assumptions and went through forums to get clear picture. It would be good if the question is explained in more descriptive manner -Assignment -Negative -Assignment questions were not clear. I made lot of assumptions and went through $T$ to get clear picture. It would be good if the question is explained in more descriptive manner -forums -Positive -Assignment questions were not clear. I made lot of assumptions and went through forums to get clear picture. It would be good if the $T$ is explained in more descriptive manner -question -Negative - More concise coding $T$ and less" search on your own on the internet" needed. It is great to get to know the online community and the course needs more coding example directly relat to exams. -tutorials -Negative - More concise coding tutorials and less" search on your own on the internet" needed. It is great to get to know the online $T$ and the course needs more coding example directly relat to exams. -community -Positive - More concise coding tutorials and less" search on your own on the internet" needed. It is great to get to know the online community and the $T$ needs more coding example directly relat to exams. -course -Negative -A lot of self directed $T$, bordering on excessive. Sometimes it takes some investigation to figure out why the autograder did not pass you. Overall, I felt I learned a lot, much on my own. -learning -Negative -A lot of self directed learning, bordering on excessive. Sometimes it takes some investigation to figure out why the $T$ did not pass you. Overall, I felt I learned a lot, much on my own. -autograder -Negative -This is a great overview for python, but the $T$/ videos/ slides are very elementary compared to the sophistication of the homework. Required many more hours than the estimates. -materials -Negative -This is a great overview for python, but the materials/ $T$/ slides are very elementary compared to the sophistication of the homework. Required many more hours than the estimates. -videos -Negative -This is a great overview for python, but the materials/ videos/ $T$ are very elementary compared to the sophistication of the homework. Required many more hours than the estimates. -slides -Negative -This is a great overview for python, but the materials/ videos/ slides are very elementary compared to the sophistication of the $T$. Required many more hours than the estimates. -homework -Positive -Statistical $T$ are really tough, it' s hard to understand without any background also the assignment materials should be discussed more, they should be included in the course. -stuffs -Negative -Statistical stuffs are really tough, it' s hard to understand without any background also the $T$ materials should be discussed more, they should be included in the course. -assignment -Negative -Recent changes to the $T$ made it a lot worse! Longer, less concise videos, difficult to find course notes, fewer mid- video working problems, and quizzes are pointless. -course -Negative -Recent changes to the course made it a lot worse! Longer, less concise $T$, difficult to find course notes, fewer mid- video working problems, and quizzes are pointless. -videos -Negative -Recent changes to the course made it a lot worse! Longer, less concise videos, difficult to find course $T$, fewer mid- video working problems, and quizzes are pointless. -notes -Negative -Recent changes to the course made it a lot worse! Longer, less concise videos, difficult to find course notes, fewer mid- video working $T$, and quizzes are pointless. -problems -Negative -Recent changes to the course made it a lot worse! Longer, less concise videos, difficult to find course notes, fewer mid- video working problems, and $T$ are pointless. -quizzes -Negative -The $T$ are ok. The assignments are extremelly centered in data cleansing. The debate in forums is very helpful, and the course staff answers regularly. -videos -Neutral -The videos are ok. The $T$ are extremelly centered in data cleansing. The debate in forums is very helpful, and the course staff answers regularly. -assignments -Neutral -The videos are ok. The assignments are extremelly centered in data cleansing. The $T$ in forums is very helpful, and the course staff answers regularly. -debate -Positive -The videos are ok. The assignments are extremelly centered in data cleansing. The debate in forums is very helpful, and the course $T$ answers regularly. -staff -Positive -Interesting $T$, poor instruction and not enough practice for things to sink in. Have to basically teach yourself everything through google searches. -material -Positive -Interesting material, poor $T$ and not enough practice for things to sink in. Have to basically teach yourself everything through google searches. -instruction -Negative -Interesting material, poor instruction and not enough practice for things to sink in. Have to basically $T$ yourself everything through google searches. -teach -Negative -I learned a lot by doing $T$, but the course materials are not helpful. Stackflow and Python documents guide me much more than the course itself. -assignments -Positive -I learned a lot by doing assignments, but the course $T$ are not helpful. Stackflow and Python documents guide me much more than the course itself. -materials -Negative -I learned a lot by doing assignments, but the course materials are not helpful. Stackflow and Python documents guide me much more than the $T$ itself. -course -Negative -During the course, the $T$ was presenting with a background contains moving people which caused a big distraction to me. -instructor -Negative -During the course, the instructor was presenting with a $T$ contains moving people which caused a big distraction to me. -background -Negative -The level of course content and $T$ is not at all similar. The course contents need to be revised, seems like the professor assumes we know everything about the topic. Also the teaching speed is extremely fast. Very Disappointed! -assignments -Negative -The level of course content and assignments is not at all similar. The course contents need to be revised, seems like the $T$ assumes we know everything about the topic. Also the teaching speed is extremely fast. Very Disappointed! -professor -Negative -The level of course content and assignments is not at all similar. The course contents need to be revised, seems like the professor assumes we know everything about the topic. Also the teaching $T$ is extremely fast. Very Disappointed! -speed -Negative -With great $T$, lectures, there' re terrible assignments, w/ o explanation, multiple interpretations. Ttest task in Module 4, is really a hard task, w/ o any explanation, could have moved it in a different course. -tasks -Positive -With great tasks, $T$, there' re terrible assignments, w/ o explanation, multiple interpretations. Ttest task in Module 4, is really a hard task, w/ o any explanation, could have moved it in a different course. -lectures -Positive -With great tasks, lectures, there' re terrible $T$, w/ o explanation, multiple interpretations. Ttest task in Module 4, is really a hard task, w/ o any explanation, could have moved it in a different course. -assignments -Negative -With great tasks, lectures, there' re terrible assignments, w/ o explanation, multiple interpretations. Ttest $T$ in Module 4, is really a hard task, w/ o any explanation, could have moved it in a different course. -task -Negative -This is a very useful $T$. I recommended this course at people that already know how to programming. Week' s homework are more difficult than in the description and needs more time( for my personal experience) -course -Positive -This is a very useful course. I recommended this course at people that already know how to programming. Week' s $T$ are more difficult than in the description and needs more time( for my personal experience) -homework -Negative -Excellent $T$, I struggled with the assignments a bit but after doing some extra research I managed to complete them and learned a lot in the process. Great Course to get started in Data Science using Python! -Course -Positive -Excellent Course, I struggled with the $T$ a bit but after doing some extra research I managed to complete them and learned a lot in the process. Great Course to get started in Data Science using Python! -assignments -Negative -Excellent Course, I struggled with the assignments a bit but after doing some extra research I managed to complete them and $T$ a lot in the process. Great Course to get started in Data Science using Python! -learned -Positive -Excellent Course, I struggled with the assignments a bit but after doing some extra research I managed to complete them and learned a lot in the process. Great $T$ to get started in Data Science using Python! -Course -Positive -This $T$ is very good and providing knowledge about python and it' s built- in libraries like numpy, pandas, statistical analysis etc. I am very thankful for getting one new programming language into my library. -course -Positive -This course is very good and providing $T$ about python and it' s built- in libraries like numpy, pandas, statistical analysis etc. I am very thankful for getting one new programming language into my library. -knowledge -Positive -This course is very good and providing knowledge about python and it' s built- in libraries like numpy, pandas, statistical analysis etc. I am very thankful for getting one new programming $T$ into my library. -language -Positive -More challenging than I expected. The $T$ aren' t a lot of code but they do require some thought and experimentation to get right. Would have liked a bit more lecture material with more examples though. -assignments -Negative -More challenging than I expected. The assignments aren' t a lot of code but they do require some thought and experimentation to get right. Would have liked a bit more $T$ material with more examples though. -lecture -Neutral -More challenging than I expected. The assignments aren' t a lot of code but they do require some thought and experimentation to get right. Would have liked a bit more lecture $T$ with more examples though. -material -Negative -More challenging than I expected. The assignments aren' t a lot of code but they do require some thought and experimentation to get right. Would have liked a bit more lecture material with more $T$ though. -examples -Negative -Really good introductory $T$ to Pandas. Teaching stuff was a big help and forums are very active and informative. Very good work. Area of improvement: The estimated timings of completion are too optimistic:) -course -Positive -Really good introductory course to Pandas. Teaching stuff was a big help and $T$ are very active and informative. Very good work. Area of improvement: The estimated timings of completion are too optimistic:) -forums -Positive -Really good introductory course to Pandas. Teaching stuff was a big help and forums are very active and informative. Very good work. Area of improvement: The estimated $T$ of completion are too optimistic:) -timings -Negative -Good introduction $T$. Did require the student to be resourceful and teach themselves additional pandas techniques in order to complete the homework. The homework was a tangible and applicable problem set. -course -Positive -Good introduction course. Did require the student to be resourceful and teach themselves additional pandas techniques in order to complete the $T$. The homework was a tangible and applicable problem set. -homework -Negative -This $T$ is very well formatted and designed. You get to learn the basics and will have chance to have hands on some live data. The mentors are really helpful for any help that you need for your assignments. -course -Positive -This course is very well formatted and designed. You get to learn the basics and will have chance to have hands on some live data. The $T$ are really helpful for any help that you need for your assignments. -mentors -Positive -This course is very well formatted and designed. You get to learn the basics and will have chance to have hands on some live data. The mentors are really helpful for any help that you need for your $T$. -assignments -Neutral -It is an interesting $T$. After taking this course, I can make use of Pandas, numpy in python. In addition, I have learned some interesting knowledge about statistic. Thanks Prof. Christopher Brooks and TAs. -course -Positive -It is an interesting course. After taking this course, I can make use of Pandas, numpy in python. In addition, I have learned some interesting knowledge about statistic. Thanks $T$. Christopher Brooks and TAs. -Prof -Positive -It is an interesting course. After taking this course, I can make use of Pandas, numpy in python. In addition, I have learned some interesting knowledge about statistic. Thanks Prof. Christopher Brooks and $T$. -TAs -Positive -This is a great $T$ with excellent materials and very practical assignments. The course forum is more than supportive, I won' t be able to complete this without helps from my peers and all the teaching staff. -course -Positive -This is a great course with excellent $T$ and very practical assignments. The course forum is more than supportive, I won' t be able to complete this without helps from my peers and all the teaching staff. -materials -Positive -This is a great course with excellent materials and very practical $T$. The course forum is more than supportive, I won' t be able to complete this without helps from my peers and all the teaching staff. -assignments -Positive -This is a great course with excellent materials and very practical assignments. The course $T$ is more than supportive, I won' t be able to complete this without helps from my peers and all the teaching staff. -forum -Positive -Very nice $T$. Sometimes really challenging, and outright fun! I wish there would have been a little more participation by staff/ mentors, but this is just a minor cutback. Recommended to everyone! -course format -Positive -Very nice course format. Sometimes really challenging, and outright fun! I wish there would have been a little more participation by $T$/ mentors, but this is just a minor cutback. Recommended to everyone! -staff -Neutral -This $T$ is fabulous, most of the time we have to learn on our own. Teaching staff is giving valuable suggestions to each and every question posted by students. After completion of course you feel confidence. -course -Positive -This course is fabulous, most of the time we have to $T$ on our own. Teaching staff is giving valuable suggestions to each and every question posted by students. After completion of course you feel confidence. -learn -Negative -This course is fabulous, most of the time we have to learn on our own. Teaching $T$ is giving valuable suggestions to each and every question posted by students. After completion of course you feel confidence. -staff -Positive -Great $T$ with assignments that are challenging but not too hard. The difficulty is balanced and I really feel I master the knowledge. The lessons are great. The staff was responsive when I asked questions. -course -Positive -Great course with $T$ that are challenging but not too hard. The difficulty is balanced and I really feel I master the knowledge. The lessons are great. The staff was responsive when I asked questions. -assignments -Neutral -Great course with assignments that are challenging but not too hard. The difficulty is balanced and I really feel I master the knowledge. The $T$ are great. The staff was responsive when I asked questions. -lessons -Positive -Great course with assignments that are challenging but not too hard. The difficulty is balanced and I really feel I master the knowledge. The lessons are great. The $T$ was responsive when I asked questions. -staff -Positive -This $T$ has an in- depth exposure to pandas, and how to manipulate dataframes. I found it quite challenging and rewarding, as it improved my knowledge of series, dataframes and data manipulations in Python. -course -Positive -This course has an in- depth exposure to pandas, and how to manipulate dataframes. I found it quite challenging and rewarding, as it improved my $T$ of series, dataframes and data manipulations in Python. -knowledge -Positive -A profound and delightful experience of online $T$. I especially impressed by the exercise of submitting assignment. It is so excited to get it passed while I can really learn something from those exercise. -learning -Positive -A profound and delightful experience of online learning. I especially impressed by the exercise of submitting $T$. It is so excited to get it passed while I can really learn something from those exercise. -assignment -Positive - Very informative $T$ to Data Science using Python. Well presented and explained by the instructor. I will recommend this for python beginners and intermediate learners. I enjoyed it, hope you will too. -introduction -Positive - Very informative introduction to Data Science using Python. Well presented and explained by the $T$. I will recommend this for python beginners and intermediate learners. I enjoyed it, hope you will too. -instructor -Positive -The course $T$ is very short and precise. Previous knowledge of Python is helpful. This course serves its purpose as an introduction to Python libraries and how they are used in the field of Data Science. -material -Neutral -The course material is very short and precise. Previous $T$ of Python is helpful. This course serves its purpose as an introduction to Python libraries and how they are used in the field of Data Science. -knowledge -Neutral -Very well prepared $T$, good quality video and audio too( some of the older courses have crappy audio)... this class gives you enough information to allow you to research and attack new problems on your own -course -Positive -Very well prepared course, good quality $T$ and audio too( some of the older courses have crappy audio)... this class gives you enough information to allow you to research and attack new problems on your own -video -Positive -Very well prepared course, good quality video and $T$ too( some of the older courses have crappy audio)... this class gives you enough information to allow you to research and attack new problems on your own -audio -Positive -Very well prepared course, good quality video and audio too( some of the older courses have crappy audio)... this $T$ gives you enough information to allow you to research and attack new problems on your own -class -Positive -The $T$ was challenging. Sometimes the question didn' t seem quite clear. But the forums were a HUGH help- lots of great hints and some partial solutions that let you know if you' re on the right track. -homework -Negative -The homework was challenging. Sometimes the $T$ didn' t seem quite clear. But the forums were a HUGH help- lots of great hints and some partial solutions that let you know if you' re on the right track. -question -Negative -The homework was challenging. Sometimes the question didn' t seem quite clear. But the $T$ were a HUGH help- lots of great hints and some partial solutions that let you know if you' re on the right track. -forums -Positive -Excellent $T$, challenging assignments, the lectures go through material quickly, but they' re efficient. This course requires a lot of external research, which is good in my opinion because it' s realistic. -course -Positive -Excellent course, challenging $T$, the lectures go through material quickly, but they' re efficient. This course requires a lot of external research, which is good in my opinion because it' s realistic. -assignments -Positive -Excellent course, challenging assignments, the $T$ go through material quickly, but they' re efficient. This course requires a lot of external research, which is good in my opinion because it' s realistic. -lectures -Positive -Excellent course, challenging assignments, the lectures go through material quickly, but they' re efficient. This $T$ requires a lot of external research, which is good in my opinion because it' s realistic. -course -Positive -the $T$ is been really helpful to learn several python libraries like pandas, numpy, scipy etc that are widely used in data science so far hence the overall course was really awesome. Thank you Coursera. :) -course -Positive -the course is been really helpful to learn several python libraries like pandas, numpy, scipy etc that are widely used in data science so far hence the overall $T$ was really awesome. Thank you Coursera. :) -course -Positive -the course is been really helpful to learn several python libraries like pandas, numpy, scipy etc that are widely used in data science so far hence the overall course was really awesome. Thank you $T$. :) -Coursera -Positive -It was seriously an awesome experience, I got to $T$ about so many new concepts and with a bit more of practice, I feel a lot more confident. I can' t thank enough to Coursera, and I' ll be grateful forever. -learn -Positive -It was seriously an awesome experience, I got to learn about so many new concepts and with a bit more of practice, I feel a lot more confident. I can' t thank enough to $T$, and I' ll be grateful forever. -Coursera -Positive -The $T$ is overall good but it' s in a fast pace and the instructor is teaching very fast. However, the well designed assignments made it possible to perceive all the necessary materials you need to learn. -course -Positive -The course is overall good but it' s in a fast $T$ and the instructor is teaching very fast. However, the well designed assignments made it possible to perceive all the necessary materials you need to learn. -pace -Negative -The course is overall good but it' s in a fast pace and the $T$ is teaching very fast. However, the well designed assignments made it possible to perceive all the necessary materials you need to learn. -instructor -Negative -The course is overall good but it' s in a fast pace and the instructor is teaching very fast. However, the well designed $T$ made it possible to perceive all the necessary materials you need to learn. -assignments -Positive -it' s huge help to learn about data science in python, everything in this $T$ is knowledgeable, i get to know about lots of thing about Data science and python which help to increase my knowledge. Thank you -course -Positive -This is a new user friendly $T$. I learnt the skills needed to fulfill basic data manipulating project from almost zero and felt a great sense of achievement when I eventually finished the final project. -course -Positive -This is a new user friendly course. I $T$ the skills needed to fulfill basic data manipulating project from almost zero and felt a great sense of achievement when I eventually finished the final project. -learnt -Positive -This is a new user friendly course. I learnt the skills needed to fulfill basic data manipulating project from almost zero and felt a great sense of achievement when I eventually finished the final $T$. -project -Positive -I really like this $T$, it is a good kick off to learn and practice Pandas. The assignments are more difficult than the avg assignment in coursera courses which I think made this course more productive. -course -Positive -I really like this course, it is a good kick off to learn and practice Pandas. The $T$ are more difficult than the avg assignment in coursera courses which I think made this course more productive. -assignments -Negative -The $T$ are very well considered, ensuring the student must apply everything that that is taught within the course to their solution; engendering a genuine sense of accomplishment- once completed. -assignments -Positive -The assignments are very well considered, ensuring the student must apply everything that that is taught within the $T$ to their solution; engendering a genuine sense of accomplishment- once completed. -course -Positive -It' s a very good $T$. I had few issues only understanding some concepts which I' m not familiar with, mainly stats concepts. This course for opened the way to continue studding much more in data science. -course -Positive -It was very interesting introductory $T$ to Data Science with Python. It helped me learn about the Data Scientist profession and what it would entail to transition into this field within the workforce. -course -Positive -It was very interesting introductory course to Data Science with Python. It helped me $T$ about the Data Scientist profession and what it would entail to transition into this field within the workforce. -learn -Positive -The $T$ are great, but many needed knowledge is not covered in the lectures. I believe this is by design and recommend re- balancing the lectures by covering more needed skills to solve assignments. -assignments -Negative -The assignments are great, but many needed knowledge is not covered in the lectures. I believe this is by design and recommend re- balancing the $T$ by covering more needed skills to solve assignments. -lectures -Neutral -it' s a little bit daunting $T$ even though I finished Python3 Specialization. However, it' s extremely helpful if you want to build solid knowledge and skills needed for the real world jobs. Great class! -class -Negative -it' s a little bit daunting class even though I finished Python3 Specialization. However, it' s extremely helpful if you want to build solid $T$ and skills needed for the real world jobs. Great class! -knowledge -Positive -it' s a little bit daunting class even though I finished Python3 Specialization. However, it' s extremely helpful if you want to build solid knowledge and $T$ needed for the real world jobs. Great class! -skills -Positive -Great $T$ if you are already familiar with Python but never used Pandas and never worked in proper big data- data science fields. Definitely recommended if you want to see how data science looks like. -course -Positive -Great teaching $T$. Interesting exercises. Very good teachers, it was a pleasure to watch and listen them. The automatic feedback after the assignment checking helped me to correct and submit again. -material -Positive -Great teaching material. Interesting exercises. Very good $T$, it was a pleasure to watch and listen them. The automatic feedback after the assignment checking helped me to correct and submit again. -teachers -Positive -Great teaching material. Interesting exercises. Very good teachers, it was a pleasure to watch and listen them. The automatic $T$ after the assignment checking helped me to correct and submit again. -feedback -Positive -I am quite unsure of where to send a mail to express my gratitude for the $T$. As such, I guess this may be a good venue for it. Thank you for the scholarship Coursera and University of Michigan. -scholarship -Positive -I am quite unsure of where to send a mail to express my gratitude for the scholarship. As such, I guess this may be a good venue for it. Thank you for the scholarship $T$ and University of Michigan. -Coursera -Positive -It was a challenging, time- consuming and difficult $T$, but the course itself did help me understand a lot about pandas library in python. It would better if the course can extend into 5- week course. -course -Negative -It was a challenging, time- consuming and difficult course, but the $T$ itself did help me understand a lot about pandas library in python. It would better if the course can extend into 5- week course. -course -Positive - This $T$ has been proven to be very useful during my data science internship. I was doing tasks for data wrangling which require heavy pandas syntax and this source has provided me with exactly that. -source -Positive -This was an excellent, and challenging $T$. I highly recommend it for exactly what the title of the course is: an intro to data science. The coursework was really helpful, although difficult. -course -Positive -This was an excellent, and challenging course. I highly recommend it for exactly what the title of the course is: an intro to data science. The $T$ was really helpful, although difficult. -coursework -Neutral -Exceptional $T$ to introduce you to data exploration in Python using mostly pandas and numpy. Would say its very heavy to go through and one should have at least some experience with Python. -course -Positive -This $T$ is very important if you want to learn Data Science by applying it into real- world data. It' s trully complete, and it will guide you pretty good towards this Data Scientist journey. -course -Positive -Great $T$, I feel like I' ve learned the basics of python pretty well. The only thing I' d suggest is to include exercises regarding dates, timestamps, and pivot tables within the assignments. -course -Positive -Great course, I feel like I' ve learned the $T$ of python pretty well. The only thing I' d suggest is to include exercises regarding dates, timestamps, and pivot tables within the assignments. -basics -Positive -Great course, I feel like I' ve learned the basics of python pretty well. The only thing I' d suggest is to include exercises regarding dates, timestamps, and pivot tables within the $T$. -assignments -Neutral -The last $T$ project is a bit harder, and requires quite a lot of self study, but the course is well structured and worth it. The teachers answer quickly to questions on the forums, too. -assignment -Negative -The last assignment project is a bit harder, and requires quite a lot of self study, but the $T$ is well structured and worth it. The teachers answer quickly to questions on the forums, too. -course -Positive -The last assignment project is a bit harder, and requires quite a lot of self study, but the course is well structured and worth it. The $T$ answer quickly to questions on the forums, too. -teachers -Positive -The last assignment project is a bit harder, and requires quite a lot of self study, but the course is well structured and worth it. The teachers answer quickly to questions on the $T$, too. -forums -Positive -This $T$ is really great. It helped me a lot in learning Data Science from the beginning using Python. I am really happy to get such a good level of guidance from the mentors of this course. -course -Positive -This course is really great. It helped me a lot in $T$ Data Science from the beginning using Python. I am really happy to get such a good level of guidance from the mentors of this course. -learning -Positive -This course is really great. It helped me a lot in learning Data Science from the beginning using Python. I am really happy to get such a good level of guidance from the $T$ of this course. -mentors -Positive -$T$ does a good job introducing the usage of key Python libraries like numpy and pandas. To learn the material it is best to put in extra work. Examples using real data sets would be useful. -Course -Neutral -Course does a good job introducing the usage of key Python libraries like numpy and pandas. To learn the $T$ it is best to put in extra work. Examples using real data sets would be useful. -material -Neutral -Ok you need background in Python and in statistics- the $T$ is really good and the assignments put the bar pretty high if you are new to using Python for DS like I am( especially the last 2). -pace -Positive -Ok you need background in Python and in statistics- the pace is really good and the $T$ put the bar pretty high if you are new to using Python for DS like I am( especially the last 2). -assignments -Negative -Excellent $T$. It offers fundamentals about data science, as an introduction staff provides very completed material that could be used to solve the assignment, and the content is pertinent. -course -Positive -Excellent course. It offers fundamentals about data science, as an introduction staff provides very completed $T$ that could be used to solve the assignment, and the content is pertinent. -material -Positive -Amazing $T$. covers a lot in span of 4 weeks. So, you need to do some work on your own. Would have been great if some of the topics were explained elaborately rather than in a brief manner. -course -Positive -Amazing course. covers a lot in span of 4 weeks. So, you need to do some work on your own. Would have been great if some of the $T$ were explained elaborately rather than in a brief manner. -topics -Neutral -This $T$ brushed up my python programming skills and empowered me with pandas programming for data analysis. Looking forward to learn the visualization and machine learning specializations. -course -Positive -This course brushed up my python programming skills and empowered me with pandas programming for data analysis. Looking forward to $T$ the visualization and machine learning specializations. -learn -Positive -Great place to start learning about Data Science or refresh your Data Science skills. I would recommend any one interested in the topic to take a look at this $T$ and finish the assignments -course -Positive -Great place to start learning about Data Science or refresh your Data Science skills. I would recommend any one interested in the topic to take a look at this course and finish the $T$ -assignments -Positive -It is a great $T$. In depth teaching but on week 3 and week 4 required a lot of hours of researching. Worth every penny. It really pushes people to learn Pandas by researching on their own. -course -Positive -It is a great course. In depth $T$ but on week 3 and week 4 required a lot of hours of researching. Worth every penny. It really pushes people to learn Pandas by researching on their own. -teaching -Negative -Hard $T$, but extremely helpful. Good work with pvalues at the end. Tricky assignments. Coming from R, I wanted to learn python dataframes, and I definitely feel I got a hold on python now. -course -Negative -Hard course, but extremely helpful. Good work with pvalues at the end. Tricky $T$. Coming from R, I wanted to learn python dataframes, and I definitely feel I got a hold on python now. -assignments -Negative -$T$ are great to follow, assignments do make you get into the code deeply and understand how to use pandas, numpy etc. Learned a lot and feel comfortable going forward with it from here! -Lectures -Positive -Lectures are great to follow, $T$ do make you get into the code deeply and understand how to use pandas, numpy etc. Learned a lot and feel comfortable going forward with it from here! -assignments -Positive -A very rigorous and highly informative $T$ on data manipulation and data cleaning. Highly recommend for anyone who' s an absolute beginner in Data Science and is looking to enter the field. -course -Positive -A great experience working on Numpy and Pandas library to understand the data structures, functions, and analysis of data. Amazing $T$ for those who are beginners in data science learning. -course -Positive -This $T$ is quite challenging but it motivates me a lot. It' s helpful to return back after finishing regular expression part because some of the assignment questions are easier with regex. -course -Negative -This course is quite challenging but it motivates me a lot. It' s helpful to return back after finishing regular expression part because some of the $T$ questions are easier with regex. -assignment -Neutral -This $T$ taught me pandas and it did it very well. The assignments were sometimes unclear or contained small errors, which was frustrating at times, but overall very well worth the effort! -course -Positive -This course taught me pandas and it did it very well. The $T$ were sometimes unclear or contained small errors, which was frustrating at times, but overall very well worth the effort! -assignments -Negative -I really enjoyed the $T$. I learned a lot! It would be nice to give" sample responses" to the assignment questions towards the end so that users like me can compare our responses to them. -course -Positive -I really enjoyed the course. I learned a lot! It would be nice to give" sample responses" to the $T$ questions towards the end so that users like me can compare our responses to them. -assignment -Negative -Very challenging $T$. And I thought I knew Python. I learned much, much more about Pandas, idioms, lambdas, regex, etc. I will be able to be more productive at work with all this. Thanks. -course -Positive -Very challenging course. And I thought I knew Python. I $T$ much, much more about Pandas, idioms, lambdas, regex, etc. I will be able to be more productive at work with all this. Thanks. -learned -Positive -I found it pretty challenging as it encourages us to find ways to solve the $T$ by our own. I really enjoyed the moment when I finally passed the last assignment Hahaha. Nice course -assignments -Positive -I found it pretty challenging as it encourages us to find ways to solve the assignments by our own. I really enjoyed the moment when I finally passed the last assignment Hahaha. Nice $T$ -course -Positive -I have learnt alot from this $T$. I have previously taken a few courses but I always got stuck at some point. Course outline is good and Assignments were a great help in moving forward. -course -Positive -I have learnt alot from this course. I have previously taken a few courses but I always got stuck at some point. $T$ is good and Assignments were a great help in moving forward. -Course outline -Positive -I have learnt alot from this course. I have previously taken a few courses but I always got stuck at some point. Course outline is good and $T$ were a great help in moving forward. -Assignments -Positive -Great $T$! Strongly recommended to everyone who is interested in learning practical details of data manipulation. I really learned a lot through the course and Stack Overflow questions. -course -Positive -Great course! Strongly recommended to everyone who is interested in learning practical details of data manipulation. I really learned a lot through the $T$ and Stack Overflow questions. -course -Positive -Great course! Strongly recommended to everyone who is interested in learning practical details of data manipulation. I really learned a lot through the course and $T$ questions. -Stack Overflow -Positive -This is amazing. I like a $T$ which challenges me to do what they have taught and this course knocks that boundary off the field. In love with this course. Really challenging, love it. -course -Positive -This is amazing. I like a course which challenges me to do what they have taught and this course knocks that boundary off the field. In love with this course. Really $T$, love it. -challenging -Positive -$T$ are tough, But there won' t be much learning if the assignements were easy. The discussion forum helped me a lot, and teaching staffs were always available to answer my queries. -Assignments -Positive -Assignments are tough, But there won' t be much learning if the assignements were easy. The discussion $T$ helped me a lot, and teaching staffs were always available to answer my queries. -forum -Positive -Assignments are tough, But there won' t be much learning if the assignements were easy. The discussion forum helped me a lot, and $T$ were always available to answer my queries. -teaching staffs -Positive -Good $T$. It provides a good balance between applying what you learned in the lectures vs what you would normally do in real life by finding answers to your questions in stackoverflow. -course -Positive -$T$ design so to require a lot of self study. But really worth it. It doesnt cover all the basic features of pandas but give you a very good view on what the library is capble of. -Assignments -Positive -I would highly recommend this $T$ anyone who likes to learn basic fundamentals of Data Science. I would like to say big thank you to this course instructors. Again, Thank you coursera. -course -Positive -I would highly recommend this course anyone who likes to learn basic fundamentals of Data Science. I would like to say big thank you to this course $T$. Again, Thank you coursera. -instructors -Positive -I would highly recommend this course anyone who likes to learn basic fundamentals of Data Science. I would like to say big thank you to this course instructors. Again, Thank you $T$. -coursera -Positive -I liked the $T$ and learned a lot of stuff. I guess it is a very good starting point to dive into Data Science. The assignments were a bit challenging but it was fun and rewarding. :) -content -Positive -I liked the content and learned a lot of stuff. I guess it is a very good starting point to dive into Data Science. The $T$ were a bit challenging but it was fun and rewarding. :) -assignments -Negative -Very Good $T$! I got a lot of information and knowledge finishing this course and it' s really good for people who' s looking for a start to learn data science, especially using python. -Course -Positive -course $T$ is excellent but the content needs to be improved and needs to be little detailed because the Assignments are little difficult to complete with the provided course lecture -content -Positive -course content is excellent but the content needs to be improved and needs to be little detailed because the $T$ are little difficult to complete with the provided course lecture -Assignments -Positive -course content is excellent but the content needs to be improved and needs to be little detailed because the Assignments are little difficult to complete with the provided course $T$ -lecture -Neutral -Challenging, awesome. Working through the $T$ will really teach you Pandas, which makes Python scripts much more efficient. I' m already using the things I have learned at work. -assignments -Positive -It is very good for $T$. Data Analysis using python is a requirement in Business Consulting and I recommend this course to anyone who is working or aspiring to work in this field. -learning -Positive -It is very good for learning. Data Analysis using python is a requirement in Business Consulting and I recommend this $T$ to anyone who is working or aspiring to work in this field. -course -Positive -This is really a great $T$. Both the professor and the TA are nice and helpful. The lectures are moving in a right speed and cover most essential parts of data processing in Python. -course -Positive -This is really a great course. Both the $T$ and the TA are nice and helpful. The lectures are moving in a right speed and cover most essential parts of data processing in Python. -professor -Positive -This is really a great course. Both the professor and the TA are nice and helpful. The $T$ are moving in a right speed and cover most essential parts of data processing in Python. -lectures -Positive -this $T$ very use full to me and this is my first course, we have learned different kind of new thing and how to write with my own code developed and executed, it is very interested -course -Positive -This is my first completed $T$ in data science. I think this is a good course to start with. The assignments are not trivial and need some exploration, which helps me to learn more. -course -Positive -This is my first completed course in data science. I think this is a good course to start with. The $T$ are not trivial and need some exploration, which helps me to learn more. -assignments -Positive -So useful, learn the course through $T$, you need to do a lot of self- study and google, not just restrict within the course material, this is the way I love to study -programming assignment -Positive -So useful, learn the course through programming assignment, you need to do a lot of self- study and google, not just restrict within the course $T$, this is the way I love to study -material -Neutral -Very Nice, it explains pandas from the basics. I would just wish that u would have an $T$ like the one in Python for everbody course by Dr. ChuckThis one is a little bit annoying -autograder -Negative -Amazing $T$ learned a lot and i could test my knowledge, i guess it' s more than an introduction to data science! And i loved the assignments despite their difficulty:) -Specialization -Positive -Amazing Specialization learned a lot and i could test my knowledge, i guess it' s more than an introduction to data science! And i loved the $T$ despite their difficulty:) -assignments -Positive -Best $T$ one must take to opt for a future in the data science field. This course cleared all my basic knowledge related to the data science with python as the programming language. -course -Positive -Best course one must take to opt for a future in the data science field. This course cleared all my basic $T$ related to the data science with python as the programming language. -knowledge -Positive -$T$ gained in Introduction to Data Science surpassed my expectations. Its project and assignments are really tough, hence, engraving the real knowledge into the brains of students. -Skills -Positive -Skills gained in Introduction to Data Science surpassed my expectations. Its $T$ and assignments are really tough, hence, engraving the real knowledge into the brains of students. -project -Negative -Skills gained in Introduction to Data Science surpassed my expectations. Its project and $T$ are really tough, hence, engraving the real knowledge into the brains of students. -assignments -Negative -In- depth $T$ with great material and good assignments. The language used in the assignments is a bit difficult to comprehend, not all questions are clear as what needs to be done. -course -Positive -In- depth course with great $T$ and good assignments. The language used in the assignments is a bit difficult to comprehend, not all questions are clear as what needs to be done. -material -Positive -In- depth course with great material and good $T$. The language used in the assignments is a bit difficult to comprehend, not all questions are clear as what needs to be done. -assignments -Positive -In- depth course with great material and good assignments. The $T$ used in the assignments is a bit difficult to comprehend, not all questions are clear as what needs to be done. -language -Negative -This $T$ is a great approach for both beginners and advance programmers who want to dive into an specific and very pragmatic approach to most used pandas methods for data science. -course -Positive -excellent $T$ with a good flow in tutorial. great use of technology for teaching. Also, the involving exercises really test one' s understanding. A wholesome experience over all! -material -Positive -excellent material with a good flow in tutorial. great use of technology for teaching. Also, the involving $T$ really test one' s understanding. A wholesome experience over all! -exercises -Positive -Great introduction to data science using Python. The weekly $T$ are very challenging and if you are able to complete the course, you can give yourself a pat on the shoulder. -assignments -Positive -Great introduction to data science using Python. The weekly assignments are very challenging and if you are able to complete the $T$, you can give yourself a pat on the shoulder. -course -Positive -As the $T$ name suggests, it' s a great start to get a good knowledge of Python for DataScience which is required if you are interested in participating in Data Science Hackathons -course -Positive -The $T$ requires knowledge of python as well as a programming aptitude. The assignments encourage you to go deep into the pandas library and improve upon the learning experience. -course -Neutral -The course requires knowledge of python as well as a programming aptitude. The $T$ encourage you to go deep into the pandas library and improve upon the learning experience. -assignments -Positive -I like the $T$ very much, it will be useful for career prospective. I have taken courses in different sites, but this is especially to good in practice, assignments and grading. -course -Positive -I like the course very much, it will be useful for career prospective. I have taken courses in different sites, but this is especially to good in practice, $T$ and grading. -assignments -Positive -I like the course very much, it will be useful for career prospective. I have taken courses in different sites, but this is especially to good in practice, assignments and $T$. -grading -Positive -This $T$ has allowed me to improve my data analysis skills and I have already been able to use many of the lessons learned to create more insightful and efficient reports at work -course -Positive -Everyone should take this $T$. Real Challenge is in the assignment. I have done some other courses but it helps me to think better about the problems faced in the assignment. Thanks -course -Positive -Everyone should take this course. Real Challenge is in the $T$. I have done some other courses but it helps me to think better about the problems faced in the assignment. Thanks -assignment -Positive -Really amazing $T$, I leaned a lot about pandas, how to manage and clean data and extract value out of that. I' ve learned a little about statistics, specially hypothesis testing. -course -Positive -This $T$ has been a real challenge, but i feel really good about finishing all the assigments, and being able to read different files and use it like in a day to day situation. -course -Negative -This course has been a real challenge, but i feel really good about finishing all the $T$, and being able to read different files and use it like in a day to day situation. -assigments -Positive - Very helpful in learning Pandas. Overall a very well designed short $T$. The only minor difficulty I had was HW submission. It took some time to figure out what could be wrong. -course -Positive - Very helpful in learning Pandas. Overall a very well designed short course. The only minor difficulty I had was HW $T$. It took some time to figure out what could be wrong. -submission -Negative -Nice $T$! Pushing you to practice and lert you act on your own to find accurate results. I thinks that this is the best way to learn if you want to start a career in Data Science -course -Positive -Great $T$! You have to do a lot of research of your own to have a better understanding of things. Besides that, this is a great course to kick off your carreer on Data Science. -course -Positive -Great course! You have to do a lot of research of your own to have a better understanding of things. Besides that, this is a great $T$ to kick off your carreer on Data Science. -course -Positive -Course $T$ are very tough and for not for beginner level python knowledge. You have to look up on various documentation time to time and the assignments take a lot of time -assignments -Negative -Course assignments are very tough and for not for beginner level python knowledge. You have to look up on various documentation time to time and the $T$ take a lot of time -assignments -Negative -One of the best $T$ that i came across it. It is a intermediate course as i say because of the assignment and you should have knowledge in Python and libraries. Happy Learning -course -Positive -One of the best course that i came across it. It is a intermediate course as i say because of the $T$ and you should have knowledge in Python and libraries. Happy Learning -assignment -Negative -This $T$ is a bit too hard for me. I strongly recommend people with no programming experience( like me) take further consideration. You' d better take a beginners' course first. -course -Negative -This course is a bit too hard for me. I strongly recommend people with no $T$ experience( like me) take further consideration. You' d better take a beginners' course first. -programming -Negative -It is a very good $T$. If you are not very experienced in python it will demand you to read a lot before finishing every assignment, which is great because you learn much more. -course -Positive -It is a very good course. If you are not very experienced in python it will demand you to read a lot before finishing every $T$, which is great because you learn much more. -assignment -Negative -It was absolutely awesome and challenging. I liked the in- $T$ questions as well as the assignments, because they give a good foundation of knowledge, but encourage self- research. -video -Positive -It was absolutely awesome and challenging. I liked the in- video questions as well as the $T$, because they give a good foundation of knowledge, but encourage self- research. -assignments -Positive -An excellent fast on ramp into Python and especially NumPy. The usual caveat with online $T$, the assignments often consume 2- 3 as much time as you expect( so allow for this). -courses -Positive -An excellent fast on ramp into Python and especially NumPy. The usual caveat with online courses, the $T$ often consume 2- 3 as much time as you expect( so allow for this). -assignments -Negative -A very good $T$ for someone who is thoroughly comfortable with Python and wishes to explore the field of Data Science. The in- video quizzes keep you on your toes at all times. -course -Positive -A very good course for someone who is thoroughly comfortable with Python and wishes to explore the field of Data Science. The in- video $T$ keep you on your toes at all times. -quizzes -Neutral -Good explanation by $T$. I can say without further thinking that it is the best explanation about the data science and also helped to study more about python and programming. -teachers -Positive -Very nice $T$. Not really for beginners since you have to struggle yourself sometimes to get to the goal. The Stuff are very active and helpful in the forums. Thanks for that! -course -Positive -Very nice course. Not really for beginners since you have to struggle yourself sometimes to get to the goal. The Stuff are very active and helpful in the $T$. Thanks for that! -forums -Positive -I am extremely thankful to $T$. This was a tough time for me to pay as I lost my job but coursera really helmed me throughout and it actualyy means a lot. Thankyou so much -coursera -Positive -The $T$ is awesome! I could finish the course with everyone' s help- reading the discussion forum and all the tips from the teaching staff especially Mr. Yusuf and Ms. Sophie -course -Positive -The course is awesome! I could finish the course with everyone' s help- reading the discussion $T$ and all the tips from the teaching staff especially Mr. Yusuf and Ms. Sophie -forum -Positive -The course is awesome! I could finish the course with everyone' s help- reading the discussion forum and all the tips from the teaching $T$ especially Mr. Yusuf and Ms. Sophie -staff -Positive -This is great, but definitely not for people with no python background. I work full- time and found the level of $T$ to be exactly where I needed it to be. I learned a LOT. -challenge -Positive -An excellent overview of the fundamental $T$ associated with data collection and analysis. Successful completion of the course will enhance your knowledge of the Pandas API. -skills -Positive -An excellent overview of the fundamental skills associated with data collection and analysis. Successful completion of the $T$ will enhance your knowledge of the Pandas API. -course -Positive -I guess this is right way of learning anything- some guided/ assisted $T$ followed by self learning. Collaboration over stackoverflow and forum is the way forward. Kudos!! -learning -Positive -I guess this is right way of learning anything- some guided/ assisted learning followed by self learning. Collaboration over stackoverflow and $T$ is the way forward. Kudos!! -forum -Positive -not an easy one but very challenging. maybe you need to give more than one week to the third and fourth $T$, since those assignment requires learning and exploring alone. -assignment -Negative -A challenging $T$ that will teach the student how to deal with problems in Python and Pandas using documentation, rather that deliver some code snippets in a bunch of videos -course -Positive -A challenging course that will teach the student how to deal with problems in Python and Pandas using documentation, rather that deliver some $T$ snippets in a bunch of videos -code -Neutral -One of the toughest $T$ you would encounter. Honestly, worth the time and effort. Gives you idea of real world data mining tricks and applying them is what is challenging. -courses -Positive -The $T$ is great. The assignments are pretty hard and I really had to concentrate to pass. Thus someone would learn a lot through working on the assignment periods. -course content -Positive -The course content is great. The $T$ are pretty hard and I really had to concentrate to pass. Thus someone would learn a lot through working on the assignment periods. -assignments -Positive -High- quality $T$ and exercises. True to an" Intermediate" course, trusts that the learner will figure thing out themselves and doesn' t spent extraneous time hand- holding. -lectures -Positive -High- quality lectures and $T$. True to an" Intermediate" course, trusts that the learner will figure thing out themselves and doesn' t spent extraneous time hand- holding. -exercises -Positive -High- quality lectures and exercises. True to an" Intermediate" $T$, trusts that the learner will figure thing out themselves and doesn' t spent extraneous time hand- holding. -course -Positive -The $T$ is very challenging. I need to read many extra books to get the assignment done. However, feel great to pass the assignment. You know you really learn something -assignment -Positive -The assignment is very challenging. I need to read many extra books to get the $T$ done. However, feel great to pass the assignment. You know you really learn something -assignment -Negative -$T$ are a bit hard. Week 4 is complete statistics and I didn' t understand it completely. Need more help for week 4 for students coming from not statistical background -Assignments -Negative -The $T$ was very challenging, and I appreciated the ability to learn at my own pace. I have even been able to use the information learned in this course at my workplace. -course -Positive -The course was very challenging, and I appreciated the ability to learn at my own pace. I have even been able to use the $T$ learned in this course at my workplace. -information -Positive -Very Informative! and properly put in a 4 week course. After several attempts I was able to pass.. assignments that were application level. Hence very well $T$ course. -designed -Positive -Very Informative! and properly put in a 4 week course. After several attempts I was able to pass.. assignments that were application level. Hence very well designed $T$. -course -Positive -It would be great, if you provide students with some best practices for $T$ in the course, so the student can understan how he can do the task even more efficiently. -assignments -Negative -$T$ are really challenging and informative. Lecturer explains contents concisely in an attractive manner. Practical contents, without redundant or time wasting videos. -Assignments -Positive -Assignments are really challenging and informative. $T$ explains contents concisely in an attractive manner. Practical contents, without redundant or time wasting videos. -Lecturer -Positive -Assignments are really challenging and informative. Lecturer explains contents concisely in an attractive manner. Practical $T$, without redundant or time wasting videos. -contents -Positive -Excellent $T$! I enjoyed it, the exercises were really good to solve, its all based on real world problems and pushed me to learn more and clear my understanding, thanks. -course -Positive -Excellent course! I enjoyed it, the $T$ were really good to solve, its all based on real world problems and pushed me to learn more and clear my understanding, thanks. -exercises -Positive -I $T$ a lot in how to use Pandas for data analysis. Even though some of the assignments are tough to complete, you will feel it' s worth spending time and practice on it. -learned -Positive -I learned a lot in how to use Pandas for data analysis. Even though some of the $T$ are tough to complete, you will feel it' s worth spending time and practice on it. -assignments -Negative -Great $T$ to start python data science. I' m not software engineer but was able to finish with the great contents and forums. ( it was difficult and time consuming though.) -course -Positive -Great course to start python data science. I' m not software engineer but was able to finish with the great contents and $T$. ( it was difficult and time consuming though.) -forums -Positive -Very well designed $T$, especially the Jupyter notebook. Totally accessible and user- friendly for both math/ CS/ stats majors and those without related background knowlege. -course -Positive -I loved the $T$. The assignments are challenging enough to keep you interested but not so difficult as to be discouraging. They definitely encourage individual learning. -course -Positive -I loved the course. The $T$ are challenging enough to keep you interested but not so difficult as to be discouraging. They definitely encourage individual learning. -assignments -Positive -I loved the course. The assignments are challenging enough to keep you interested but not so difficult as to be discouraging. They definitely encourage individual $T$. -learning -Positive -The hands- on $T$ window and integration with Jupyter notebook made it 100 times easy to learn fast. Prof. Brooks were very clear and to the point in all the videos. -programming -Positive -The hands- on programming window and integration with Jupyter notebook made it 100 times easy to learn fast. Prof. $T$ were very clear and to the point in all the videos. -Brooks -Positive -The hands- on programming window and integration with Jupyter notebook made it 100 times easy to learn fast. Prof. Brooks were very clear and to the point in all the $T$. -videos -Positive -The $T$ were especially challenging and intuitive. Loved the Assignments, I think I can consider myself brushed with Python now. Pandas Tutorial was also wonderful: D -Assignments -Positive -The Assignments were especially challenging and intuitive. Loved the $T$, I think I can consider myself brushed with Python now. Pandas Tutorial was also wonderful: D -Assignments -Positive -The Assignments were especially challenging and intuitive. Loved the Assignments, I think I can consider myself brushed with Python now. Pandas $T$ was also wonderful: D -Tutorial -Positive -Great for someone with intermediate experience in Python. A quick way to $T$ the pandas package, and apply it to interesting examples. A big thank you to the instructors! -learn -Positive -Great for someone with intermediate experience in Python. A quick way to learn the pandas package, and apply it to interesting examples. A big thank you to the $T$! -instructors -Positive -Amazing. Highly recommended for someone who doesn' t have much working knowledge of python and is looking forward to build some data science $T$ quickly and effectively. -skills -Positive -Lots of things to understand yaa the $T$. explain everything very well but not in the deep overall the course is a great start in the direction of becoming a Data Science -prof -Neutral -Excellent experience. Thanks to the $T$ team for the great job. The assignments give me the opportunity to experience the objectives of the course concepts. Well done. -course -Positive -Excellent experience. Thanks to the course team for the great job. The $T$ give me the opportunity to experience the objectives of the course concepts. Well done. -assignments -Positive -Solid explanations of the $T$ of python and pandas. Strong emphasis on self- learning in assignments, which may be difficult for those without background in programming. -basics -Positive -Solid explanations of the basics of python and pandas. Strong emphasis on self- learning in $T$, which may be difficult for those without background in programming. -assignments -Positive -The $T$ is very good and very demanding. But the assignments estimation time were, for me, really completely out. I used much more than 3 more times the suggested ones. -course -Positive -The course is very good and very demanding. But the $T$ estimation time were, for me, really completely out. I used much more than 3 more times the suggested ones. -assignments -Negative -The $T$ are challenging and will steer you towards googling/ roaming through stack overflow. The process of doing so helps improve your knowledge on the subject. -assignments -Negative -This $T$ is very Useful for the student who wish to start there carirar In the field of data science, This is one of the great course that help the student to learn -course -Positive -This course is very Useful for the student who wish to start there carirar In the field of data science, This is one of the great $T$ that help the student to learn -course -Positive -Good $T$ for intermediate level data science enthusiasts. This course could have been made better by adding more of coding explanation and a little more python basics. -course -Positive -Good course for intermediate level data science enthusiasts. This course could have been made better by adding more of $T$ explanation and a little more python basics. -coding -Negative -Good course for intermediate level data science enthusiasts. This course could have been made better by adding more of coding explanation and a little more python $T$. -basics -Negative -Great. Just great. One of the first $T$ that I' ve taken where I have really been engaged. Lectures go deep and keep the good academic stuff in there for you to learn! -courses -Positive -Great. Just great. One of the first courses that I' ve taken where I have really been engaged. $T$ go deep and keep the good academic stuff in there for you to learn! -Lectures -Positive -Actually, I am new to Python. To complete this $T$ and the assignments, I have referred to StackOverview, python websites and some references in Github, thanks a lot! -course -Neutral -Actually, I am new to Python. To complete this course and the $T$, I have referred to StackOverview, python websites and some references in Github, thanks a lot! -assignments -Neutral -I highly recommend this $T$ for data science beginners like me. python is such an easy language to learn and this course showed how easy it is for data cleaning, etc. -course -Positive -I highly recommend this course for data science beginners like me. python is such an easy $T$ to learn and this course showed how easy it is for data cleaning, etc. -language -Positive -The $T$ is fantastic! By practicing with the assignments, I improved a lot in python programming. I am now confident in doing data cleaning and manipulation in python. -course -Positive -The course is fantastic! By practicing with the $T$, I improved a lot in python programming. I am now confident in doing data cleaning and manipulation in python. -assignments -Positive -Immediately after this $T$ I was able to much more effectively visualize tabular data on my research project and build more effective notebooks to share with my peers. -class -Positive -Immediately after this class I was able to much more effectively visualize tabular data on my research project and build more effective $T$ to share with my peers. -notebooks -Positive -Great introduction to the world of data science. $T$ does a great job of explaining the content with easy to follow examples. I highly recommend taking the course -Instructor -Positive -Great introduction to the world of data science. Instructor does a great job of explaining the content with easy to follow examples. I highly recommend taking the $T$ -course -Positive -This $T$ is just awesome! It dives deep into each topic! The only thing you must make sure before enroling is that your knowledge in Python is at least intermediate. -course -Positive -This course is just awesome! It dives deep into each topic! The only thing you must make sure before enroling is that your $T$ in Python is at least intermediate. -knowledge -Neutral -This is good introductory $T$ which exposes the learner to data science fundamentals. The learner need to practise to get more grounding especially in data cleaning. -course -Positive -This is good introductory course which exposes the learner to data science fundamentals. The $T$ need to practise to get more grounding especially in data cleaning. -learner -Neutral -Nice $T$ to get started with Data science, hopefully i can combine this with kaggle based challenges. looking forward to the rest of the courses in the specialization -course -Positive -Very helpful for beginners who wants to learn Data Science with Python. Will recommend to go with this $T$. Thank you team for giving nice teaching. Very Grateful:) -course -Positive -Very helpful for beginners who wants to learn Data Science with Python. Will recommend to go with this course. Thank you $T$ for giving nice teaching. Very Grateful:) -team -Positive -Great $T$ if you are looking to build basic data science skills! The forum and community are extremely helpful for if/ when you get stuck on a problem or assignment! -course -Positive -Great course if you are looking to build basic data science skills! The $T$ and community are extremely helpful for if/ when you get stuck on a problem or assignment! -forum -Positive -Great course if you are looking to build basic data science skills! The forum and $T$ are extremely helpful for if/ when you get stuck on a problem or assignment! -community -Positive -it would be much better if the $T$ materials can be taught first and then assigned as homework. I feel some of the practice need information from the next week. -assignment -Negative -$T$ were interesting as it required individual learning which led us to research on stack overflow and the pandas doc. Also the discussion forums were helpful. -assignments -Positive -assignments were interesting as it required individual learning which led us to research on stack overflow and the pandas doc. Also the discussion $T$ were helpful. -forums -Positive -Great $T$. I would like to thank all people involved. I applied the techniques and concepts taught here in my own projects( Ph. D. in Geophysics) from the first week. -course -Positive -This is a nice $T$, even though lecture seems easy, bu programming assignment is very interesting, challenging and inspiring. The discussion forums is very helpful. -course -Positive -This is a nice course, even though lecture seems easy, bu programming $T$ is very interesting, challenging and inspiring. The discussion forums is very helpful. -assignment -Positive -This is a nice course, even though lecture seems easy, bu programming assignment is very interesting, challenging and inspiring. The discussion $T$ is very helpful. -forums -Positive -Excellent $T$- I grabbed to increase my confidence in applying Python for data analysis. It definitely improved my coding skills. Will do next course on plotting!! -course -Positive -Excellent course- I grabbed to increase my confidence in applying Python for data analysis. It definitely improved my coding $T$. Will do next course on plotting!! -skills -Positive -Much passion on $T$ and very good material, but the quizzes do not fit very well with was teached. -teaching -Positive -Much passion on teaching and very good $T$, but the quizzes do not fit very well with was teached. -material -Positive -Much passion on teaching and very good material, but the $T$ do not fit very well with was teached. -quizzes -Negative -great but some $T$ need to pass some requirements for this course before taking it. Thank you; D -learners -Neutral -Good $T$. The lectures are useful. But you will need to search a lot to complete your assignments! -Course -Positive -Good Course. The $T$ are useful. But you will need to search a lot to complete your assignments! -lectures -Positive -Good Course. The lectures are useful. But you will need to search a lot to complete your $T$! -assignments -Negative -Wide $T$ on R and perfect introduction to its world. Need quite a bit of effort for non programers -course -Positive -Wide course on R and perfect introduction to its world. Need quite a bit of effort for non $T$ -programers -Negative -The $T$ is easy and fun but other 3rd party connections of this course to git hub make it harder. -course -Positive -A good $T$ covering the basics of R, but thought the speed was a bit too high for a few concepts. -course -Positive -A good course covering the basics of R, but thought the $T$ was a bit too high for a few concepts. -speed -Negative -The $T$ were too long and overwhelming to those who are new to the course. But it is useful. -lessons -Negative -It' s very good for a first time programming in R $T$, but it needs more than 4 weeks I think. -course -Positive -i think the $T$ could have been extended to more than 4 weeks just to engage in more practice -course -Negative -Very good starter $T$ in R. I will say that I wish the course stayed in base R more, but -course -Positive -Very good starter course in R. I will say that I wish the $T$ stayed in base R more, but -course -Neutral -I did learn a lot from this $T$, i know where to find the resource to solve my questions. -course -Positive -I did learn a lot from this course, i know where to find the $T$ to solve my questions. -resource -Positive -This $T$ helped me to learn the basics of R and to apply it in many problems of Science. -course -Positive -course videos and coding $T$ are disconnected. if someone like me have no prior coding experience than better avoid taking the course. first learn R then enroll. many concepts are skipped in R. -assignment -Negative -course videos and coding assignment are disconnected. if someone like me have no prior coding experience than better avoid taking the course. first learn R then enroll. many $T$ are skipped in R. -concepts -Negative -Much of the methodology needed for the $T$ is not taught within the course teaching and requires that students learn this independently from the discussion boards or external internet sources. Really such material should be within the course itself. -assessments -Negative -Much of the methodology needed for the assessments is not taught within the course $T$ and requires that students learn this independently from the discussion boards or external internet sources. Really such material should be within the course itself. -teaching -Negative -Much of the methodology needed for the assessments is not taught within the course teaching and requires that students learn this independently from the discussion boards or external internet sources. Really such material should be within the $T$ itself. -course -Negative -The Programming $T$( specially the Programming Assignment Week- 4) were quite difficult and not self explanatory... Although we learned some topics during the course, the entire set of tools needed to complete the Assignment was not given. -Assignments -Negative -The Programming Assignments( specially the Programming Assignment Week- 4) were quite difficult and not self explanatory... Although we learned some topics during the course, the entire set of $T$ needed to complete the Assignment was not given. -tools -Negative -$T$ and programming assignments were not related. Did not find lectures very engaging. However, I managed to learn some basic R skills that will help me academically and professionally. The course forum and swirl exercises are very helpful. -Lectures -Negative -Lectures and programming $T$ were not related. Did not find lectures very engaging. However, I managed to learn some basic R skills that will help me academically and professionally. The course forum and swirl exercises are very helpful. -assignments -Negative -Lectures and programming assignments were not related. Did not find $T$ very engaging. However, I managed to learn some basic R skills that will help me academically and professionally. The course forum and swirl exercises are very helpful. -lectures -Negative -Lectures and programming assignments were not related. Did not find lectures very engaging. However, I managed to learn some basic R skills that will help me academically and professionally. The course $T$ and swirl exercises are very helpful. -forum -Positive -Lectures and programming assignments were not related. Did not find lectures very engaging. However, I managed to learn some basic R skills that will help me academically and professionally. The course forum and swirl $T$ are very helpful. -exercises -Positive -Everything begins slowly and everything is nicely explained at the beginning. But then suddenly the level of difficulty escalates... for someone without any previous knowledge it is nearly impossible to finish the $T$ independently... -assignments -Negative -Great $T$ but in comparison with others of the specialization, the exercise did not leave that much as before. Too focused on lines and not on the whole implementation of the ConvNet -course -Positive -Great course but in comparison with others of the specialization, the $T$ did not leave that much as before. Too focused on lines and not on the whole implementation of the ConvNet -exercise -Negative -The $T$ is awesome, but using the old version of tf is not the best and obscures from the objective of either understanding the mechanics completely or creating CNNs with freedom. -content -Positive -The content is awesome, but using the old version of tf is not the best and obscures from the $T$ of either understanding the mechanics completely or creating CNNs with freedom. -objective -Negative -$T$' s simple explanation of complicated concepts lets you grasp concepts that require hour- long reading of research papers in a few minutes, Assignments could be more elaborate. -Andrew Ng -Positive -Andrew Ng' s simple explanation of complicated concepts lets you grasp $T$ that require hour- long reading of research papers in a few minutes, Assignments could be more elaborate. -concepts -Positive -Andrew Ng' s simple explanation of complicated concepts lets you grasp concepts that require hour- long reading of research papers in a few minutes, $T$ could be more elaborate. -Assignments -Negative -It can be so much better if $T$ covers some more overviews. But it is still a great course and everyone should take it. Andrew gives the most understandable lessons about Yolo ones. -Andrew -Neutral -It can be so much better if Andrew covers some more overviews. But it is still a great $T$ and everyone should take it. Andrew gives the most understandable lessons about Yolo ones. -course -Positive -It can be so much better if Andrew covers some more overviews. But it is still a great course and everyone should take it. $T$ gives the most understandable lessons about Yolo ones. -Andrew -Positive -The first week was good and well $T$. From the 2nd week onwards it as very cryptic. In the final week, on what are deep conv nets are learning, more details could have been given -presented -Positive -The first week was good and well presented. From the 2nd week onwards it as very cryptic. In the final week, on what are deep conv nets are $T$, more details could have been given -learning -Negative -I feel some of the $T$ was rushed here and high level functions used instead of explaining some of the more difficult concepts in the papers referenced, such as the Inception paper. -theory -Negative -I feel some of the theory was rushed here and high level functions used instead of explaining some of the more difficult $T$ in the papers referenced, such as the Inception paper. -concepts -Negative -Good $T$, gives you a rough overview of popular CNN architectures and the basics of how they work. Assignments are easy but give you a chance to apply some of the stuff you learned. -course -Positive -Good course, gives you a rough overview of popular CNN architectures and the basics of how they work. $T$ are easy but give you a chance to apply some of the stuff you learned. -Assignments -Positive -The $T$ was great, as usual, from Prof. Ng. But I wasted a lot of hours trying to make the programming assignment submissions, since auto save in IPython Notebooks kept on failing! -content -Positive -The content was great, as usual, from Prof. Ng. But I wasted a lot of hours trying to make the programming $T$, since auto save in IPython Notebooks kept on failing! -assignment submissions -Negative -Minus one star for the $T$ issue( triplet loss) for Week 4, this is a bit beyond acceptable considering how long the issue has evidently been there. Otherwise, stellar content. -assignment -Negative -Minus one star for the assignment issue( triplet loss) for Week 4, this is a bit beyond acceptable considering how long the issue has evidently been there. Otherwise, stellar $T$. -content -Positive -Excellent $T$ and explanations as usual. A small criticism for this course compared with the previous three is that the videos have clips of repeated content due to strange cuts. -content -Positive -Excellent content and $T$ as usual. A small criticism for this course compared with the previous three is that the videos have clips of repeated content due to strange cuts. -explanations -Positive -Excellent content and explanations as usual. A small criticism for this course compared with the previous three is that the $T$ have clips of repeated content due to strange cuts. -videos -Negative -Course $T$ was good, but grader needs to be updated as in many cases I had to submit assignments manually by uploading it, as the grader wasn' t working. Everything else was good. :) -content -Positive -Course content was good, but $T$ needs to be updated as in many cases I had to submit assignments manually by uploading it, as the grader wasn' t working. Everything else was good. :) -grader -Negative -Course content was good, but grader needs to be updated as in many cases I had to submit $T$ manually by uploading it, as the grader wasn' t working. Everything else was good. :) -assignments -Neutral -Weird $T$ error on the week 4 assignment intriplet_loss function-- had to put axis = None instead of axis=- 1, which is wrong( and contrary to the directions) -- needs to be fixed. -grader -Negative -Great $T$. Very good and simple explanations of complex topics. The 4 is just for the sake I hoped for a deeper dive into Tensorflow and how everything changes with Tensorflow 2. -course -Positive -Great course. Very good and simple $T$ of complex topics. The 4 is just for the sake I hoped for a deeper dive into Tensorflow and how everything changes with Tensorflow 2. -explanations -Positive -The problem with the triplet loss function and the $T$ was not solved until Dec 1st. This was misleading me, and, in order to grade fully I wrote a wrong version of the function. -grader -Negative -A clear $T$ of difficult problems and I love working with the notebooks. However meanwhile most of the tensorflow documentation hyperlinks within the notebooks are broken. -presentation -Positive -A clear presentation of difficult problems and I love working with the notebooks. However meanwhile most of the tensorflow $T$ hyperlinks within the notebooks are broken. -documentation -Negative -This $T$ was of the same high quality and detail of the first three, but the last project was difficult due to bugs in the python code. This definitely needs to be fixed please. -course -Positive -This course was of the same high quality and detail of the first three, but the last $T$ was difficult due to bugs in the python code. This definitely needs to be fixed please. -project -Negative -The $T$ didn' t work correctly on the final assignment. Course content was both really interesting and well explained though. Thanks very much for putting together these courses! -grader -Negative -The grader didn' t work correctly on the final $T$. Course content was both really interesting and well explained though. Thanks very much for putting together these courses! -assignment -Negative -The grader didn' t work correctly on the final assignment. Course $T$ was both really interesting and well explained though. Thanks very much for putting together these courses! -content -Positive -The $T$ and lectures are still great. But the assignments and graders have a few bugs. I guess it' s because of the insufficient preparing time. However, I did learn what I need -content -Positive -The content and $T$ are still great. But the assignments and graders have a few bugs. I guess it' s because of the insufficient preparing time. However, I did learn what I need -lectures -Positive -The content and lectures are still great. But the $T$ and graders have a few bugs. I guess it' s because of the insufficient preparing time. However, I did learn what I need -assignments -Negative -The content and lectures are still great. But the assignments and $T$ have a few bugs. I guess it' s because of the insufficient preparing time. However, I did learn what I need -graders -Negative -The $T$ were excellent, but many of the exercises and quizzes had" issues" that wasted a lot of time. You need to spend a LOT of time on the internal forums for this course. -lectures -Positive -The lectures were excellent, but many of the $T$ and quizzes had" issues" that wasted a lot of time. You need to spend a LOT of time on the internal forums for this course. -exercises -Negative -The lectures were excellent, but many of the exercises and $T$ had" issues" that wasted a lot of time. You need to spend a LOT of time on the internal forums for this course. -quizzes -Negative -The lectures were excellent, but many of the exercises and quizzes had" issues" that wasted a lot of time. You need to spend a LOT of time on the internal $T$ for this course. -forums -Neutral -Great $T$ and superb videos. The assignments are becoming exponentially more challenging if one is not familiar with Tensorflow as the intro on that framework is rather short. -content -Positive -Great content and superb $T$. The assignments are becoming exponentially more challenging if one is not familiar with Tensorflow as the intro on that framework is rather short. -videos -Positive -Great content and superb videos. The $T$ are becoming exponentially more challenging if one is not familiar with Tensorflow as the intro on that framework is rather short. -assignments -Negative -Good $T$, I learned a lot. Just one thing, the programing assignments need to be updated to tf > 2. 0. Currently running 1. 2. 1( released on Jun 30, 2017) in week2 and week4. -content -Positive -Good content, I learned a lot. Just one thing, the programing $T$ need to be updated to tf > 2. 0. Currently running 1. 2. 1( released on Jun 30, 2017) in week2 and week4. -assignments -Negative -I wish to rate this 4. 5 out of 5. Some $T$( eg: YOLO alogrithm) are less elaborate or may be I found it difficult to understand. Overall, it is a very good course. :-) -descriptions -Neutral -I wish to rate this 4. 5 out of 5. Some descriptions( eg: YOLO alogrithm) are less elaborate or may be I found it difficult to understand. Overall, it is a very good $T$. :-) -course -Positive -Good $T$ but lots of technical issues with grading of programming assignments. Did not see these issues in previous courses. Maybe more background on tensorflow is needed. -course -Positive -Good course but lots of technical issues with $T$ of programming assignments. Did not see these issues in previous courses. Maybe more background on tensorflow is needed. -grading -Negative -Good course but lots of technical issues with grading of programming $T$. Did not see these issues in previous courses. Maybe more background on tensorflow is needed. -assignments -Negative -A bit difficult for people who don' t have too much $T$ experience, especially those who are not familiar with using open- source packages, reading documentation by their own -coding -Negative -It would be more helpful and beneficial if there is a deeper $T$ for the network architectures involving the forward propagation, backward propagation and optimization -explanation -Negative -Another very good $T$, only marred by the problems with running the final' Happy House' face recognition notebook of week 4: the values did not seem to load into the model. -course -Positive -The $T$ is good but the grades has severa errors- I spent a lot of time to understand what was wrong with my submissions- and was grade problem- consult always de forum. -course -Positive -The course is good but the $T$ has severa errors- I spent a lot of time to understand what was wrong with my submissions- and was grade problem- consult always de forum. -grades -Negative -This $T$ could be better if more programming content was taught. The programming assignments are difficult and not taught in courses. -course -Negative -This course could be better if more $T$ content was taught. The programming assignments are difficult and not taught in courses. -programming -Negative -This course could be better if more programming content was taught. The programming $T$ are difficult and not taught in courses. -assignments -Negative -Great $T$. I' m really looking forward to learn more about clustering in the next course since I know nearly nothing about clustering. -course -Positive -The $T$ was excellent and the exercises were really good. It would be better if svms and bayesian classifiers are also covered -content -Positive -The content was excellent and the $T$ were really good. It would be better if svms and bayesian classifiers are also covered -exercises -Positive -Nice $T$ for new learner of machine learning, but I do hope this course could have introduction to support vector machine. -course -Positive -Nice course for new $T$ of machine learning, but I do hope this course could have introduction to support vector machine. -learner -Positive -Great $T$! However I put only 4 starts because I would like to see random forests which are not present. -course -Positive -I think the $T$ on boosting could be worked on better. But all in all I really enjoyed this course. -course -Neutral -It' s still a great $T$. But I think the quality of the regression one is better than this overall. -course -Positive -It' s still a great course. But I think the $T$ of the regression one is better than this overall. -quality -Negative -Pros: Absolutely fantastic theory $T$. Establishes solid fundamentals. Cons: The bugs in test/ notebooks could have not been rectified with new ones. Demands searching in discussion forum every time. Would highly recommend for starters! -explanations -Positive -Pros: Absolutely fantastic theory explanations. Establishes solid $T$. Cons: The bugs in test/ notebooks could have not been rectified with new ones. Demands searching in discussion forum every time. Would highly recommend for starters! -fundamentals -Positive -Pros: Absolutely fantastic theory explanations. Establishes solid fundamentals. Cons: The $T$ in test/ notebooks could have not been rectified with new ones. Demands searching in discussion forum every time. Would highly recommend for starters! -bugs -Negative -Pros: Absolutely fantastic theory explanations. Establishes solid fundamentals. Cons: The bugs in test/ notebooks could have not been rectified with new ones. Demands searching in discussion $T$ every time. Would highly recommend for starters! -forum -Neutral -All of the courses $T$ are great until it reaches week 5 where it' s really hard to catch, the programming assignment doesn' t give enough hints and lecture in this topic doesn' t help much. -lecture -Positive -All of the courses lecture are great until it reaches week 5 where it' s really hard to catch, the programming $T$ doesn' t give enough hints and lecture in this topic doesn' t help much. -assignment -Negative -All of the courses lecture are great until it reaches week 5 where it' s really hard to catch, the programming assignment doesn' t give enough hints and $T$ in this topic doesn' t help much. -lecture -Negative -While $T$ 1 and 2 of this specialization were quite good, I find this one a bit sparse on content. I think this course could be easily compressed into 2- 3 weeks instead of 7. -courses -Positive -While courses 1 and 2 of this specialization were quite good, I find this one a bit sparse on $T$. I think this course could be easily compressed into 2- 3 weeks instead of 7. -content -Negative -A lot of interesting parts of the $T$ are available as optional and a lot of the difficult parts of the coding exercises are provided to you- the challenge is not there. :/ -course -Positive -A lot of interesting parts of the course are available as optional and a lot of the difficult parts of the $T$ are provided to you- the challenge is not there. :/ -coding exercises -Negative -The $T$ were pretty goods. But a bit too slow and easy. The assigments were ok, but too guiding. Also there were too much reimplementation of algorithm -videos -Positive -The videos were pretty goods. But a bit too slow and easy. The $T$ were ok, but too guiding. Also there were too much reimplementation of algorithm -assigments -Neutral -Too much confusion, I face too much problem with this $T$. much confusion if you use different packages like sklearn. -course -Negative -The course $T$ seemed to be rushed out, as a result, the quality is not as good as the first two. -content -Negative -This course needs to be re- created using new $T$. Way too lazy IMO. Too many" trick questions", total confusion between Python 2. x and 3. x -professors -Negative -This course needs to be re- created using new professors. Way too lazy IMO. Too many" trick $T$", total confusion between Python 2. x and 3. x -questions -Negative -The $T$ is not of the said level and is a very convenient way of promoting their software, the faulties are non responsive n the forums -Course -Negative -The Course is not of the said level and is a very convenient way of promoting their software, the faulties are non responsive n the $T$ -forums -Negative -Could not install required $T$( turicreate library for python) in a Windows Environment. The course should be explicit about that. -software -Negative -Could not install required software( turicreate library for python) in a Windows Environment. The $T$ should be explicit about that. -course -Negative -This $T$ is easy to understand. I used to consider programming to be boring, but this course aroused my interest in this field again. -course -Positive -This course is easy to understand. I used to consider programming to be boring, but this $T$ aroused my interest in this field again. -course -Positive -Very Happy that I took this $T$ as Mr. charles made it very easy to understand as it was only the basics it was fun to learn with him -course -Positive -It was really great time to learn to $T$ for everyone. It was really fun and learning both together!! Recommended for the beginners. -program -Positive -It was my pleasure to become part of this $T$. It has made me believe that anyone can learn programming if they are committed enough. -course -Positive -It was my pleasure to become part of this course. It has made me believe that anyone can learn $T$ if they are committed enough. -programming -Positive -it' s really friendly for people like me who want to study Python but have no background knowledge about that, thanks $T$ Charles~! -Professor -Positive -This is a very good start for programming in python. All the $T$ was nicely explained and the instructor of the course is too good... -content -Positive -This is a very good start for programming in python. All the content was nicely explained and the $T$ of the course is too good... -instructor -Positive -Amazing $T$! I will join other courses by this specialization as I feel that explanation is very clear for me. Thank you very much) -course -Positive -Amazing course! I will join other $T$ by this specialization as I feel that explanation is very clear for me. Thank you very much) -courses -Positive -Had a great time going through this $T$. I recommend this one to each one of you sitting out there and reading my review. All smiles... -course -Positive -It was very helpful for a beginner like me. It would be more comprehensive if the $T$ for the problems of the text book was added. -solutions -Negative -It was god $T$ with basics and I learned a lot of things in the course and thanks to coursera for providing the opportunity to learn -course -Positive -It was god course with basics and I learned a lot of things in the course and thanks to $T$ for providing the opportunity to learn -coursera -Positive -Great $T$ with interesting Materials. I really enjoyed and really eager to start the next course of python( chapter 6 to chapter 10) -course -Positive -Great course with interesting $T$. I really enjoyed and really eager to start the next course of python( chapter 6 to chapter 10) -Materials -Positive -This was the first $T$ for me on computer science. I have learned a lot and understand the logic behind the codes. Thank you Dr. Chuck -course -Positive -This was the first course for me on computer science. I have learned a lot and understand the logic behind the codes. Thank you $T$. Chuck -Dr -Positive -This was the first course for me on computer science. I have learned a lot and understand the logic behind the codes. Thank you Dr. $T$ -Chuck -Positive -this $T$ is very important for any student to concept any principles of programming and help many programmers to think in programming -course -Positive -this course is very important for any student to concept any principles of programming and help many programmers to think in $T$ -programming -Positive -it' s good experience for me to become a certified by $T$ and i love the content which are available on coursera. THANK YOU COURSERA -coursera -Positive -it' s good experience for me to become a certified by coursera and i love the $T$ which are available on coursera. THANK YOU COURSERA -content -Positive -I had a hard time understanding the Try except structure, except that the $T$ was very good. New examples of Try- except can be added. -course -Positive -I had a hard time understanding the Try except structure, except that the course was very good. New $T$ of Try- except can be added. -examples -Neutral -$T$ Severance is an excellent teacher! He explains topics in a variety of ways to ensure that you understand each topic covered. -Professor -Positive -Professor Severance is an excellent teacher! He explains $T$ in a variety of ways to ensure that you understand each topic covered. -topics -Positive -The course $T$ and journey was exciting. It was fun learning and never really came to know when I finished this course. So easy!! -content -Positive -The course content and journey was exciting. It was fun $T$ and never really came to know when I finished this course. So easy!! -learning -Positive -Clearly explained, interface works, enough scaffolding to aid progress but enough space given for $T$. Thank you Dr Chuck! -problem solving -Negative -An amazing $T$ being given by an amazing Professor- Dr. Charles Severance, who has made love coding and not get intimidated by it. -course -Positive -An amazing course being given by an amazing $T$- Dr. Charles Severance, who has made love coding and not get intimidated by it. -Professor -Positive -An amazing course being given by an amazing Professor- Dr. Charles Severance, who has made love $T$ and not get intimidated by it. -coding -Positive -This is where you start if you want to learn $T$. Logical thinking and approach is what matters. Python is just a language. -programming -Positive -It was a great experience, the $T$ were clear, the exercises elaborated so didactically that they shaped the teacher' s ideas. -explanations -Positive -It was a great experience, the explanations were clear, the $T$ elaborated so didactically that they shaped the teacher' s ideas. -exercises -Positive -This $T$ is a good one to the beginners. It is really useful course for me. And I hope I can finish the following courses after it. -course -Positive -Great start to python and thinking as a computer programmer. The $T$ was conversational and never felt like a dreaded lecture. -instruction -Positive -If you don' t know anything about Python but were always curious to find out, this is the $T$ and this is the instructor. Go for it. -course -Positive -If you don' t know anything about Python but were always curious to find out, this is the course and this is the $T$. Go for it. -instructor -Positive -A very nicely paced $T$ for someone who is new to programming. A good way to start falling in love with programming. Thank You.. !! -course -Positive -A very nicely paced course for someone who is new to programming. A good way to start falling in love with $T$. Thank You.. !! -programming -Positive -started $T$ after many years and really help build my foundation, trainer is great in understanding people like me who do not code. -coding -Positive -started coding after many years and really help build my foundation, $T$ is great in understanding people like me who do not code. -trainer -Positive -This is a great $T$ to start on the learning path for Python. It is of course designed keeping in mind of Programming for Everybody -course -Positive -Great $T$ for beginners! Though I studied other programming languages a little bit, this course gave me a lot of informative stuff. -course -Positive -Great course for beginners! Though I studied other programming languages a little bit, this $T$ gave me a lot of informative stuff. -course -Positive -Very clear $T$ and eases you into the language. The worked examples and assignments are particularly useful. Would recommend. -explanations -Positive -Very clear explanations and eases you into the language. The worked examples and $T$ are particularly useful. Would recommend. -assignments -Positive -Thank you $T$ Severance for your book as well as this course. You have demystified programming and made it accessible to EVERYONE. -Charles -Positive -Thank you Charles Severance for your book as well as this course. You have demystified $T$ and made it accessible to EVERYONE. -programming -Positive -Good $T$! The teacher is very humourous! Even if a person without some basis programming knowledge can learn a lot from this course! -course -Positive -Good course! The $T$ is very humourous! Even if a person without some basis programming knowledge can learn a lot from this course! -teacher -Positive -All thanks and respect to $T$ for the excellent and wonderful explanation It was my first experience and I will continue it -Dr . Charles -Positive -All thanks and respect toDr . Charles for the excellent and wonderful $T$ It was my first experience and I will continue it -explanation -Positive -Superb $T$, a guy who wants to learn Python from a high quality source should definitely start with this course. ThanksDr . Chuck -course -Positive -Superb course, a guy who wants to learn Python from a high quality source should definitely start with this course. Thanks $T$ -Dr . Chuck -Positive -It was a great learning experience, the $T$ of the course, taught the subject very well. And the exercises were very useful. -instructor -Positive -It was a great learning experience, the instructor of the course, taught the $T$ very well. And the exercises were very useful. -subject -Positive -It was a great learning experience, the instructor of the course, taught the subject very well. And the $T$ were very useful. -exercises -Positive -Thank you Dr. Charles R. Severance, You are the best $T$ I have ever seen. I love you. I enjoyed your class. Thank you so much -instructor -Positive -Thank you Dr. Charles R. Severance, You are the best instructor I have ever seen. I love you. I enjoyed your $T$. Thank you so much -class -Positive -Great $T$ for Python beginner. Explained things from very basic level, teacher is making lesson exciting enough with his humour. -course -Positive -Great course for Python beginner. Explained things from very basic level, $T$ is making lesson exciting enough with his humour. -teacher -Positive -Excellent $T$ for beginners, I used to program a lot a few years back and this was great to give me a good refresh of everything. -course -Positive -Excellent course for beginners, I used to $T$ a lot a few years back and this was great to give me a good refresh of everything. -program -Positive -Great $T$ to start with for someone who does not have a programming background or basic. Sincere thank you from core of my heart. -Course -Positive -The $T$ is really friendly to someone who always procrastinates to learn programming( like me). It is intriguing and interesting. -course -Positive -Taking this $T$ was very effective way to refresh some knowledge in topic and must be taken for beginners in Python! Thanks a lot -course -Positive -Taking this course was very effective way to refresh some $T$ in topic and must be taken for beginners in Python! Thanks a lot -knowledge -Positive -very well structured and $T$ are technical. so before u get the certificate, you must have understood 90 percent of the course -questions -Neutral -very well structured and questions are technical. so before u get the certificate, you must have understood 90 percent of the $T$ -course -Negative -Very good $T$. Brilliant use of d?? cor and multimedia for the learner to feel calm and confident while he watches the videos. -instructors -Positive -Very good instructors. Brilliant use of d?? cor and multimedia for the learner to feel calm and confident while he watches the $T$. -videos -Positive -This is a really good one! It is useful who beginner and also a good chance for intermediate users who wants to improve their $T$ -skills -Positive -As an absolute beginner, I find this $T$ exceptionally helpful for me to grasp the idea of basic programming and python language. -course -Positive -As an absolute beginner, I find this course exceptionally helpful for me to grasp the idea of basic $T$ and python language. -programming -Positive -This gave me a complete overview of the important $T$ in python language and encourages me to do further courses in the future. -concepts -Positive -a fun and impressive $T$. Learned a lot of fundamental and necessary skills and concepts. makes me interested in Python learning. -course -Positive -a fun and impressive course. Learned a lot of fundamental and necessary $T$ and concepts. makes me interested in Python learning. -skills -Positive -Good stuff! Engaging and easy to follow, $T$Dr . Chuck is hilarious and truly makes getting started with Python plausible for everybody. -Dr. Chuck -Positive -Good stuff! Engaging and easy to follow, $T$ is hilarious and truly makes getting started with Python plausible for everybody. -Dr . Chuck -Positive -easy to understand and the learning curve is very gradual for anyone with/ without programming $T$. it is really for everybody -background -Positive -$T$ is amazing at explaining concepts in a way that are easy to understand. I' ve learned a lot and will continue to learn even more -Prof -Positive -Prof is amazing at explaining $T$ in a way that are easy to understand. I' ve learned a lot and will continue to learn even more -concepts -Positive -This $T$ is my first coursera course and it is so great! I can not wait learning the rest of the courses in this specialization. -course -Positive -The $T$ is really covers all bases required to understand programming at a fundamental level. It is well structured and balanced. -course -Positive -The course is really covers all bases required to understand $T$ at a fundamental level. It is well structured and balanced. -programming -Positive -Very well put together, the $T$ was easy to listen to and the material really helped grasp the concepts discussed. Recommend! -instructor -Positive -Very well put together, the instructor was easy to listen to and the $T$ really helped grasp the concepts discussed. Recommend! -material -Positive -Very well put together, the instructor was easy to listen to and the material really helped grasp the $T$ discussed. Recommend! -concepts -Positive -Brilliant $T$ with great professor to teach. It' s a great way to learn from the people who are masters in their respected fields. -Course -Positive -Brilliant Course with great $T$ to teach. It' s a great way to learn from the people who are masters in their respected fields. -professor -Positive -I enjoyed this $T$. I am very happy because of this. I learnt something new, a have learnt python programming language. Thank you. -class -Positive -A really nice, gentle introduction to $T$. I immediately started the second course in this series after completing this one. -programming -Positive -Thank youDr . Chuck and team. It was a wonderful experience to $T$ the constructs of Python from you. Heading for the next courses. -learn -Positive -It' s really for everybody. The $T$ is fun, and it' s really easy for understand. I love this course, and I' ll take the specialization -course -Positive -It' s really for everybody. The course is fun, and it' s really easy for understand. I love this $T$, and I' ll take the specialization -course -Positive -$T$ is pitched at a very elementary level-- which I liked a lot. Assignments are doable and helpful. Instructor is simply amazing! -Course -Neutral -Course is pitched at a very elementary level-- which I liked a lot. $T$ are doable and helpful. Instructor is simply amazing! -Assignments -Positive -Course is pitched at a very elementary level-- which I liked a lot. Assignments are doable and helpful. $T$ is simply amazing! -Instructor -Positive -As the entry level of the python, it is clearly introduced the basic idea. I feel that it is quite easy to follow all the $T$. -materials -Positive -I think this $T$ is very useful for a beginning leaner to get start with python. And I really like the lecturer of this course. -course -Positive -I think this course is very useful for a beginning leaner to get start with python. And I really like the $T$ of this course. -lecturer -Positive -As a complete beginer in programming languages, $T$ those for, if else, while loops really helped understanting other courses -learning -Positive -Great way to learn python but after the $T$ you will need more practice to excel your python skills. Continue to the series:)) -course -Neutral -Great way to learn python but after the course you will need more practice to excel your python $T$. Continue to the series:)) -skills -Neutral -Very clear $T$ on how to start coding. I really enjoyed each line of code, that I could develop at the end of the course. -instructions -Positive -Very clear instructions on how to start coding. I really enjoyed each line of code, that I could develop at the end of the $T$. -course -Positive -The way the $T$ explain the material is easy to understand and those exercises undoubtedly help student dealing with python -instructor -Positive -The way the instructor explain the $T$ is easy to understand and those exercises undoubtedly help student dealing with python -material -Positive -The way the instructor explain the material is easy to understand and those $T$ undoubtedly help student dealing with python -exercises -Positive -The $T$ specially the instructors was excellent. I have learnt from this more. I enjoy the whole course with more satisfaction. -course -Positive -The course specially the $T$ was excellent. I have learnt from this more. I enjoy the whole course with more satisfaction. -instructors -Positive -The course specially the instructors was excellent. I have learnt from this more. I enjoy the whole $T$ with more satisfaction. -course -Positive -Dr. Chuck is a mind- blowing $T$. His teaching style is really exceptional. And at last I want to say a big Thanks to Coursera. -teacher -Positive -Dr. Chuck is a mind- blowing teacher. His $T$ is really exceptional. And at last I want to say a big Thanks to Coursera. -teaching style -Positive -Dr. Chuck is a mind- blowing teacher. His teaching style is really exceptional. And at last I want to say a big Thanks to $T$. -Coursera -Positive -good for those who are new to the world of computer programming. $T$ are explained in understandable and simplest way possible -concepts -Positive -I love the way Dr. Charles $T$. He goes through slowly and clearly. Its the only course that made me grew my interest in Python. -teach -Positive -I love the way Dr. Charles teach. He goes through slowly and clearly. Its the only $T$ that made me grew my interest in Python. -course -Positive -A very good $T$, nicely explained for all the students who wish to start programming and choose python as their first language -course -Positive -A very good course, nicely explained for all the students who wish to start $T$ and choose python as their first language -programming -Positive -A well designed interactive $T$. So comfortable with the new learners that you can distinguish that it is a programming course -lesson -Positive -The best $T$ to start with if you want to learn python. Dr. Chuck you are great. The way you teach is the" BEST". Thank you sir -course -Positive -The best course to start with if you want to learn python. Dr. Chuck you are great. The way you $T$ is the" BEST". Thank you sir -teach -Positive -The $T$ explained complicated things in such a simple manner. the best instructor I' ve come across. Thank you so much, Sir. -instructor -Positive -Really a good approach for beginners. Learnt many good things about python. I would definitely recommend this $T$ to my friends -course -Positive -The one thing I loved the most about this $T$ was how beautifully Prof. Charles Russell explained everything. You are brilliant! -course -Positive -The one thing I loved the most about this course was how beautifully $T$. Charles Russell explained everything. You are brilliant! -Prof -Positive -Best for started a new programming language with Dr. chuk. the Best $T$ and understanding in whole topics or videos. thank you. -teaching -Positive -Best for started a new programming language with Dr. chuk. the Best teaching and understanding in whole $T$ or videos. thank you. -topics -Positive -Best for started a new programming language with Dr. chuk. the Best teaching and understanding in whole topics or $T$. thank you. -videos -Positive -A fantastic $T$ for those who don' t know what programming is. Really, a good choice to start programming with this course:) . -course -Positive -A fantastic course for those who don' t know what programming is. Really, a good choice to start $T$ with this course:) . -programming -Positive -This is a really great introductory $T$. Topics are well thought out and explained, a great place to start your python journey. -course -Positive -This is a really great introductory course. $T$ are well thought out and explained, a great place to start your python journey. -Topics -Positive -it was a new experience to attend online $T$ in coursera the teaching was great and i learned about python thanks for coursera -courses -Positive -it was a new experience to attend online courses in coursera the $T$ was great and i learned about python thanks for coursera -teaching -Positive -it was a new experience to attend online courses in coursera the teaching was great and i learned about python thanks for $T$ -coursera -Positive -Really great introductory $T$! There are tons of supplemental material provided and the lectures are succinct and very helpful. -course -Positive -Really great introductory course! There are tons of supplemental $T$ provided and the lectures are succinct and very helpful. -material -Positive -Really great introductory course! There are tons of supplemental material provided and the $T$ are succinct and very helpful. -lectures -Positive -I really enjoyed the $T$. Solving assignment and quiz was my favorite task. Thank you sir for teaching python in very easy way. -course -Positive -I really enjoyed the course. Solving $T$ and quiz was my favorite task. Thank you sir for teaching python in very easy way. -assignment -Positive -Started off this specialty with two thorough $T$. The content has gotten more complex, but the explanations aren' t keeping up. Spending much more time on assignments now, having to re- do things over and over is frustrating... -classes -Positive -Started off this specialty with two thorough classes. The $T$ has gotten more complex, but the explanations aren' t keeping up. Spending much more time on assignments now, having to re- do things over and over is frustrating... -content -Neutral -Started off this specialty with two thorough classes. The content has gotten more complex, but the $T$ aren' t keeping up. Spending much more time on assignments now, having to re- do things over and over is frustrating... -explanations -Negative -Started off this specialty with two thorough classes. The content has gotten more complex, but the explanations aren' t keeping up. Spending much more time on $T$ now, having to re- do things over and over is frustrating... -assignments -Negative -Another good $T$ in the Python Specialisation! You' ll need to have a thorough grounding in dictionaries and lists for this module, so make sure you' re across the concepts and syntax of those data structures:) -course -Positive -Another good course in the Python Specialisation! You' ll need to have a thorough grounding in dictionaries and lists for this module, so make sure you' re across the $T$ and syntax of those data structures:) -concepts -Neutral -This $T$ was difficult for me as beginner, found it too complicated and I needed to do some extra research and studying to understand the concept of sockets, urllib and all that web/ network- related material. -course -Negative -This course was difficult for me as beginner, found it too complicated and I needed to do some extra $T$ and studying to understand the concept of sockets, urllib and all that web/ network- related material. -research -Negative -It' s better to introduce algorithms instead if access web data. Algorithms are basics for everyone who is learning $T$, but some specific direction like web develop is for people who interested in it. -programming -Neutral -This part of the $T$ was tough, maybe a bit more guidance in the videos to get the assignments slightly more aligned, as it seemed there was alot of extra stuff in the assignments and they were quite tough -course -Negative -This part of the course was tough, maybe a bit more guidance in the $T$ to get the assignments slightly more aligned, as it seemed there was alot of extra stuff in the assignments and they were quite tough -videos -Negative -This part of the course was tough, maybe a bit more guidance in the videos to get the $T$ slightly more aligned, as it seemed there was alot of extra stuff in the assignments and they were quite tough -assignments -Neutral -This part of the course was tough, maybe a bit more guidance in the videos to get the assignments slightly more aligned, as it seemed there was alot of extra stuff in the $T$ and they were quite tough -assignments -Negative -The $T$ sped through the coding portions while spending a lot of time on the theoretical side of how the Internet works. Overall a very helpful overview, but I would have liked to spend more time coding. -course -Negative -The course sped through the coding portions while spending a lot of time on the theoretical side of how the Internet works. Overall a very helpful overview, but I would have liked to spend more time $T$. -coding -Negative -The $T$ are truly awesome, but It would be better if they are more informative. Some of the things in code about web- servicing, XML and JSON parsing in python are unexplained at least not deep enough. -lectures -Positive -The lectures are truly awesome, but It would be better if they are more informative. Some of the things in $T$ about web- servicing, XML and JSON parsing in python are unexplained at least not deep enough. -code -Negative -The XML/ JSON part was too steep, for begginer level XML to Dictionary parsing is complex, and we should go more thoroughly for lines of $T$, not enough info to grasp the concepts for task completion. -code -Negative -The XML/ JSON part was too steep, for begginer level XML to Dictionary parsing is complex, and we should go more thoroughly for lines of code, not enough info to grasp the $T$ for task completion. -concepts -Negative -The $T$ is explained very well but I feel there should be more examples with solutions to verify. I also felt it went a little faster as compared to the previous two courses in this Specialization. -course -Positive -The course is explained very well but I feel there should be more $T$ with solutions to verify. I also felt it went a little faster as compared to the previous two courses in this Specialization. -examples -Negative -Its hard to capture all this stuff in a few $T$. Would be better if you give the newbies some more examples in pictures or so on. But all in all still a good and very interesting cheapter/ part. -tutorials -Negative -Good $T$. However it would be nice if the hints in the assignments were more clear. Last assignment had an error and it was not clarified in the description so the users had to seek help on forum. -course -Positive -Good course. However it would be nice if the hints in the $T$ were more clear. Last assignment had an error and it was not clarified in the description so the users had to seek help on forum. -assignments -Negative -Good course. However it would be nice if the hints in the assignments were more clear. Last assignment had an error and it was not clarified in the description so the users had to seek help on $T$. -forum -Neutral -This $T$ was a little difficult to understand than the first 2 courses. I passed the course, but I felt that I haven' t got a good grasp of concepts. XML& JSON were really difficult to understand -course -Negative -This course was a little difficult to understand than the first 2 courses. I passed the course, but I felt that I haven' t got a good grasp of $T$. XML& JSON were really difficult to understand -concepts -Negative -This $T$ didn' t go into as much detail as I would' ve liked. While it did give a respectable foundation, I' ll have to go and study more on this topic to fully grasp the concepts that were taught. -course -Negative -This course didn' t go into as much detail as I would' ve liked. While it did give a respectable foundation, I' ll have to go and study more on this topic to fully grasp the $T$ that were taught. -concepts -Negative -It Isn' t A Brief $T$ Just A Glance And Some Basic About XML, JSON And APIYou Have To Go Through References And Documentation For Better UnderstandingOverall A Good Course With Useful Knowledge. -Course -Neutral -It Isn' t A Brief Course Just A Glance And Some Basic About XML, JSON And APIYou Have To Go Through References And Documentation For Better UnderstandingOverall A Good $T$ With Useful Knowledge. -Course -Positive -A very difficult $T$. Dr. Chuck tried to cover a wide range of topics in a single course which made it really difficult. Instead, focus on single thing to a wider extent should have been done. -course -Negative -A very difficult course. Dr. Chuck tried to cover a wide range of $T$ in a single course which made it really difficult. Instead, focus on single thing to a wider extent should have been done. -topics -Negative -$T$ was still good, but this content was less relevant to the task at hand. However, now I know more about data handling and communication... - which might will come in handy some day?... -Teaching -Positive -Teaching was still good, but this $T$ was less relevant to the task at hand. However, now I know more about data handling and communication... - which might will come in handy some day?... -content -Negative -A bit too complicated. Too much crammed into one $T$ to really get a clear understanding of things on a more deeper level. Felt like I was running programs with only superficial knowledge. -course -Negative -A bit too complicated. Too much crammed into one course to really get a clear understanding of things on a more deeper level. Felt like I was running $T$ with only superficial knowledge. -programs -Negative -The $T$ covered is more complex than the previous courses yet there is much less explanation given. It' s still perfectly doable but one ends up feeling like you are missing something. -material -Negative -The material covered is more complex than the previous courses yet there is much less $T$ given. It' s still perfectly doable but one ends up feeling like you are missing something. -explanation -Negative -I am a beginner and the $T$ is intended for beginners. Of course, I would ask questions that would seem awkward for experienced programmers; The teaching staff could be more polite. -course -Positive -I am a beginner and the course is intended for beginners. Of course, I would ask questions that would seem awkward for experienced programmers; The teaching $T$ could be more polite. -staff -Negative -Too much of it at the end was not $T$ properly. I would have liked more understanding of API' s than this. Up to XML, the course was 5/ 5, but then it kind of went into a summary. -explained -Negative -Too much of it at the end was not explained properly. I would have liked more understanding of API' s than this. Up to XML, the $T$ was 5/ 5, but then it kind of went into a summary. -course -Negative -Absolutely wonderful! I have strong math and CS background. I can see this $T$ can be learned by many people from many background. VERY helpful. I cannot say enough good things about it! Thank you so much!! -course -Positive -$T$ is great: What I liked:- Lecturer. He is the best. It could be seen that he loves what he is talking about -Course -Positive -Course is great: What I liked:- $T$. He is the best. It could be seen that he loves what he is talking about -Lecturer -Positive -A lot what we need for the basics were clearly explainedAm new to Deep Learning and I thoroughly enjoyed this $T$ -course -Positive -I' m so honored that I' ve taken this $T$, professor Andrew is phenomenal indeed on so many levels. I kicked off my career in machine learning& deep learning just because his ability to ease a very growing yet complicated field. -course -Positive -I' m so honored that I' ve taken this course, $T$ Andrew is phenomenal indeed on so many levels. I kicked off my career in machine learning& deep learning just because his ability to ease a very growing yet complicated field. -professor -Positive -I personally finished this $T$ in a week. My feelings are:- The lectures are presented in a very clear way.- Assignments are relatively easy based on the detailed instruction. -course -Positive -I personally finished this course in a week. My feelings are:- The $T$ are presented in a very clear way.- Assignments are relatively easy based on the detailed instruction. -lectures -Positive -I personally finished this course in a week. My feelings are:- The lectures are presented in a very clear way.- $T$ are relatively easy based on the detailed instruction. -Assignments -Neutral -Amazingly well- organized $T$, support material, and programming assignment, transforming comprehensive matters( calculus, linear algebraic, numeric calculation, Python programming) in a didactic approach for learning. The balance between the theoretical fundamentals and the practical exercises was perfect. -videos -Positive -Amazingly well- organized videos, support material, and programming $T$, transforming comprehensive matters( calculus, linear algebraic, numeric calculation, Python programming) in a didactic approach for learning. The balance between the theoretical fundamentals and the practical exercises was perfect. -assignment -Positive -Amazingly well- organized videos, support material, and programming assignment, transforming comprehensive matters( calculus, linear algebraic, numeric calculation, Python programming) in a didactic approach for learning. The balance between the theoretical fundamentals and the practical $T$ was perfect. -exercises -Positive -This $T$ help me understand the concept of deep learning and neural network. After completing this course, I feel confident about neural network. It also help me to learn two or more layers deep neural network. -course -Positive -As always $T$. Andrew never disappoints. Great course for learning forward and backward propagation and building a neural network from scratch. Also the code is in python and you get to learn how write code efficiently and using functions better. -prof -Positive -As always prof. Andrew never disappoints. Great $T$ for learning forward and backward propagation and building a neural network from scratch. Also the code is in python and you get to learn how write code efficiently and using functions better. -course -Positive -As always prof. Andrew never disappoints. Great course for learning forward and backward propagation and building a neural network from scratch. Also the code is in python and you get to learn how write $T$ efficiently and using functions better. -code -Positive -Liked the way of $T$. The exercise notebooks helped a lot to gain experience in python implementation. Vectorized way of implementing algorithms is wonderful and also functions for each step will teach how to achieve modularization of code for future usages. -teaching -Positive -Very well structured $T$ of the basics of Neural Networks and Deep Learning. Excellent labs that illuminate the complexity of the subject. Inspiring optional videos about Heros of Deep Learning. -presentation -Positive -Very well structured presentation of the basics of Neural Networks and Deep Learning. Excellent $T$ that illuminate the complexity of the subject. Inspiring optional videos about Heros of Deep Learning. -labs -Positive -Very well structured presentation of the basics of Neural Networks and Deep Learning. Excellent labs that illuminate the complexity of the subject. Inspiring optional $T$ about Heros of Deep Learning. -videos -Positive -Very well prepared $T$ and excellent exercises. Additional thanks for interesting interviews with leading researchers in the AI. Some video content might benefit further from more intuitive explanations of the symbols used. Everything becomes clear during the exercises, though. -contents -Positive -Very well prepared contents and excellent $T$. Additional thanks for interesting interviews with leading researchers in the AI. Some video content might benefit further from more intuitive explanations of the symbols used. Everything becomes clear during the exercises, though. -exercises -Positive -Very well prepared contents and excellent exercises. Additional thanks for interesting interviews with leading researchers in the AI. Some video content might benefit further from more intuitive explanations of the symbols used. Everything becomes clear during the $T$, though. -exercises -Positive -The best $T$ to follow up after ML from Deeplearning. ai. Dive- in deep to understand how back- propagation, hidden- layers and the activation functions are developed and used. Design and develop multi- layered Neural networks with greater understanding. Thoroughly enjoyed it. -course -Positive -Superb! Extremely well thought out and $T$. Also, really appreciate the interviews also with Geoffrey Hinton, Pieter Abbeel, and Ian Goodfellow. One reason Andrew Ng is the most sought after teacher on the planet, is his naturally respectful nature and great enthusiasm. -implemented -Positive -Superb! Extremely well thought out and implemented. Also, really appreciate the interviews also with Geoffrey Hinton, Pieter Abbeel, and Ian Goodfellow. One reason Andrew Ng is the most sought after $T$ on the planet, is his naturally respectful nature and great enthusiasm. -teacher -Positive -Was accustomed to the learning paradigm setup of ANG from Machine Learning course. Lots of improvement in coursera from 2 years ago. Happy to be picking up some Python along the way. Quality of $T$- 100/ 100Instructors- 100/ 100 -content -Positive -Was accustomed to the learning paradigm setup of ANG from Machine Learning course. Lots of improvement in coursera from 2 years ago. Happy to be picking up some Python along the way. Quality of content- 100/ $T$- 100/ 100 -Instructors -Positive -Very well- designed $T$, the mathematical representation was clearly discussed, otherwise it will be very challenging for students to understand/ derive the fundamentals by themselves. Coding assignment is both fun and takes a gradual step, it is never too intimidating. -course -Positive -Very well- designed course, the mathematical representation was clearly discussed, otherwise it will be very challenging for students to understand/ derive the fundamentals by themselves. Coding $T$ is both fun and takes a gradual step, it is never too intimidating. -assignment -Positive -Excellent $T$, very well paced, structured, and explained. Exercises are very helpful. The course accommodates students with at least a basic level of Python programming. I think some calculus knowledge is extremely helpful( I' m a mathematician) but non- essential. -course -Positive -Excellent course, very well paced, structured, and explained. $T$ are very helpful. The course accommodates students with at least a basic level of Python programming. I think some calculus knowledge is extremely helpful( I' m a mathematician) but non- essential. -Exercises -Positive -Excellent $T$ and content! Great coverage of all the fundamentals and pre- requisites!! Quizzes and programming assignments are perfectly aligned with the content taught! Finally, Andrew Ng' s teaching is simply unbeatable!! Thank you for making NN/ DL easy and fun!! -course -Positive -Excellent course and content! Great coverage of all the fundamentals and pre- requisites!! $T$ and programming assignments are perfectly aligned with the content taught! Finally, Andrew Ng' s teaching is simply unbeatable!! Thank you for making NN/ DL easy and fun!! -Quizzes -Positive -Excellent course and content! Great coverage of all the fundamentals and pre- requisites!! Quizzes and programming $T$ are perfectly aligned with the content taught! Finally, Andrew Ng' s teaching is simply unbeatable!! Thank you for making NN/ DL easy and fun!! -assignments -Positive -Excellent course and content! Great coverage of all the fundamentals and pre- requisites!! Quizzes and programming assignments are perfectly aligned with the content taught! Finally, Andrew Ng' s $T$ is simply unbeatable!! Thank you for making NN/ DL easy and fun!! -teaching -Positive -Excellent intro into Neural Networks! Starts from zero, outlining enough of important $T$, but not too much. Provides some good intuition. Lecture are divided into digestible chunks. Programming exercises are fun. It' s been a very enjoyable learning experience! -details -Positive -Excellent intro into Neural Networks! Starts from zero, outlining enough of important details, but not too much. Provides some good intuition. $T$ are divided into digestible chunks. Programming exercises are fun. It' s been a very enjoyable learning experience! -Lecture -Positive -Excellent intro into Neural Networks! Starts from zero, outlining enough of important details, but not too much. Provides some good intuition. Lecture are divided into digestible chunks. Programming $T$ are fun. It' s been a very enjoyable learning experience! -exercises -Positive -Lovely $T$. It explains things rigorously enough, without overburdening the students. The programming assignments not only contributed towards my understanding of machine learning, but some effective coding practices as well. I would recommend this to everyone. -course -Positive -Lovely course. It explains things rigorously enough, without overburdening the students. The programming $T$ not only contributed towards my understanding of machine learning, but some effective coding practices as well. I would recommend this to everyone. -assignments -Positive -Lovely course. It explains things rigorously enough, without overburdening the students. The programming assignments not only contributed towards my understanding of machine learning, but some effective $T$ practices as well. I would recommend this to everyone. -coding -Positive -I already have practical experience using neural nets with the keras/ tensorflow framework. Nevertheless, this $T$ has further improved my insight in the mechanics of neural nets, as you are forced to build neural nets yourself from scratch. Highly recommended. -course -Positive -Every thing with this $T$ was amazing, The great Andrew Ng is awesome.( The only problem was that, at the end the network predicted my own image as a cat! : D) -course -Positive -Many thanks for the $T$! It' s very detailed, brings you step by step to building a deep neural network using numpy, Python and Jupiter notebooks. I especially appreciated the inspirational interviews with people who pioneered the neural network developments. -course -Positive -Many thanks for the course! It' s very $T$, brings you step by step to building a deep neural network using numpy, Python and Jupiter notebooks. I especially appreciated the inspirational interviews with people who pioneered the neural network developments. -detailed -Positive -Reveals the $T$ of Deep Learning in an intuitive and mathematically sound way. Major advances in Natural Language Processing are reviewed to the current state. The exercises contribute to understanding. On the same level as Andrew' s Stanford ML course. -fundamentals -Positive -Reveals the fundamentals of Deep Learning in an intuitive and mathematically sound way. Major advances in Natural Language Processing are reviewed to the current state. The $T$ contribute to understanding. On the same level as Andrew' s Stanford ML course. -exercises -Positive -The $T$ does an excellent job of stripping away the extraneous material and concentrating on the important topics. The course is very well designed to minimize frustrations inevitable with distance learning, so you can concentrate on learning the topic. -instructor -Positive -The instructor does an excellent job of stripping away the extraneous material and concentrating on the important $T$. The course is very well designed to minimize frustrations inevitable with distance learning, so you can concentrate on learning the topic. -topics -Positive -This $T$ is tremendously awesome. There' s a lot to learn about the Neural network and deep learning. This course also improves my general understanding of mathematics regarding differentiation and vectorization, which I never thought gonna use in my life. -course -Positive -This course is tremendously awesome. There' s a lot to learn about the Neural network and deep learning. This course also improves my general $T$ of mathematics regarding differentiation and vectorization, which I never thought gonna use in my life. -understanding -Positive -Very well organised, this $T$ is an excellent learning opportunity, with very clear explanations and a step- by- step approach whch guides you though the actual implementations of algorithms. I also very much enjoiyed the interviews with experts. Great job! -course -Positive -Very well organised, this course is an excellent $T$ opportunity, with very clear explanations and a step- by- step approach whch guides you though the actual implementations of algorithms. I also very much enjoiyed the interviews with experts. Great job! -learning -Positive -Quite enjoyed it. Would appreciated more difficult programming $T$ because the current one could be easily solved simply by following the function signatures, thus depriving you of the necessity to re- read the material and thus solidify one' s learning -assignment -Neutral -Great explanations with updated $T$ compared to the earlier Machine Learning course. New programming assignments are wonderfully clear and lead you through building a working Deep Learning image classifier with very little struggle. Highly recommended. -content -Positive -Great explanations with updated content compared to the earlier Machine Learning course. New $T$ are wonderfully clear and lead you through building a working Deep Learning image classifier with very little struggle. Highly recommended. -programming assignments -Positive -This was just a fabulous $T$! The lecture videos and python notebooks were very comprehensive and structured in such a way to really promote learning the underlying fundamentals of neural networks. Outstanding content and organization. Highly recommended. -course -Positive -This was just a fabulous course! The lecture $T$ and python notebooks were very comprehensive and structured in such a way to really promote learning the underlying fundamentals of neural networks. Outstanding content and organization. Highly recommended. -videos -Positive -This was just a fabulous course! The lecture videos and python notebooks were very comprehensive and structured in such a way to really promote learning the underlying fundamentals of neural networks. Outstanding $T$ and organization. Highly recommended. -content -Positive -A ?? great, course that introduces sound $T$, to get started with basic vanilla neural network architectures. And the assigments give you a sense of accomplishement, that makes you feel confident about the implementation part of the neural networks. -fundamentals -Positive -A ?? great, course that introduces sound fundamentals, to get started with basic vanilla neural network architectures. And the $T$ give you a sense of accomplishement, that makes you feel confident about the implementation part of the neural networks. -assigments -Positive -Excellent $T$; it illustrates the basic concepts underlying multi- layer neural networks and explains clearly the algorithm implementaiton. After completion of the course it becomes easier to follow up the underlying theory, i. e. Goodfellow et al. 2016. -course -Positive -Excellent course; it illustrates the basic $T$ underlying multi- layer neural networks and explains clearly the algorithm implementaiton. After completion of the course it becomes easier to follow up the underlying theory, i. e. Goodfellow et al. 2016. -concepts -Positive -Explained very nicely and deeply. $T$ gave me a tonnes of clarity and pratical experience. Those gave me confidence that I can apply Deep Learning( that I learnt in this course) in projects. Quizzes removed theoretical misunderstandings. -Programming Assignments -Positive -Explained very nicely and deeply. Programming Assignments gave me a tonnes of clarity and pratical experience. Those gave me confidence that I can apply Deep Learning( that I learnt in this course) in projects. $T$ removed theoretical misunderstandings. -Quizzes -Positive -This $T$ is really good to learn about the basics of Neural Network and Deep learning. I learnt how to create neural network including forward propagation, cost computation, backward propagation and numpy functions also. Special thanks to Andrew Ng! :) -course -Positive -The $T$ is well structured; the algorthms are presented from their theoretical derivation till their implementation in code. Prof. Ng is clear and explains the concepts gradually and carefully. Very good introduction course to the topic. -course -Positive -The course is well structured; the algorthms are presented from their theoretical derivation till their implementation in code. $T$. Ng is clear and explains the concepts gradually and carefully. Very good introduction course to the topic. -Prof -Positive -The course is well structured; the algorthms are presented from their theoretical derivation till their implementation in code. Prof. Ng is clear and explains the concepts gradually and carefully. Very good introduction $T$ to the topic. -course -Positive -Fantastic $T$- technical concepts are presented with such great clarity. Assignments help you go through the basic steps of writing the fwd and backprop algorithm equations- this helps understand the underlying equations that govern neural networks. -course -Positive -Fantastic course- technical concepts are presented with such great clarity. $T$ help you go through the basic steps of writing the fwd and backprop algorithm equations- this helps understand the underlying equations that govern neural networks. -Assignments -Positive -Great $T$, I' ll definitely be taking the next one in the specialization! Some of the programming assignments seemed like the instructions gave away too many spoilers, but I suppose that' s probably reasonable for the introductory course in the sequence. -course -Positive -Great course, I' ll definitely be taking the next one in the specialization! Some of the programming $T$ seemed like the instructions gave away too many spoilers, but I suppose that' s probably reasonable for the introductory course in the sequence. -assignments -Negative -Loved the $T$! Very informative to understand what goes on at the heart of a Neural Network! Would have preferred the programming assignments to have fewer helper materials to encourage students to take notes, however. Overall, very smooth experience. -course -Positive -Loved the course! Very informative to understand what goes on at the heart of a Neural Network! Would have preferred the programming $T$ to have fewer helper materials to encourage students to take notes, however. Overall, very smooth experience. -assignments -Negative -Good $T$, learn about the derivatives chain rule and how that relates to back propagation algorithm. If you want to understand the formulas of the derivatives, you must do the calculus yourself. Some ready- to- use Python implementations of an L- layer NN. -course -Positive -A very well- designed $T$ that starts from the fundamental and concepts of logistic regression to two- layer neural network, and eventually to deep neural network. The programming exercises also step through these concepts to build them from ground up. -course -Positive -A very well- designed course that starts from the fundamental and $T$ of logistic regression to two- layer neural network, and eventually to deep neural network. The programming exercises also step through these concepts to build them from ground up. -concepts -Positive -A very well- designed course that starts from the fundamental and concepts of logistic regression to two- layer neural network, and eventually to deep neural network. The programming $T$ also step through these concepts to build them from ground up. -exercises -Positive -Terrific $T$. Solid introduction to neural networks and deep learning. The course is paced well with appropriate quizzes and programming assignments. Programming assignments are well setup with ample notes and student forums to help with any problems. -course -Positive -Terrific course. Solid introduction to neural networks and deep learning. The $T$ is paced well with appropriate quizzes and programming assignments. Programming assignments are well setup with ample notes and student forums to help with any problems. -course -Positive -Terrific course. Solid introduction to neural networks and deep learning. The course is paced well with appropriate $T$ and programming assignments. Programming assignments are well setup with ample notes and student forums to help with any problems. -quizzes -Positive -Terrific course. Solid introduction to neural networks and deep learning. The course is paced well with appropriate quizzes and programming $T$. Programming assignments are well setup with ample notes and student forums to help with any problems. -assignments -Positive -Terrific course. Solid introduction to neural networks and deep learning. The course is paced well with appropriate quizzes and programming assignments. Programming assignments are well setup with ample notes and student $T$ to help with any problems. -forums -Positive -The $T$ is really well- planned as an introduction to Deep Learning. The vexplanations of Andrew are the best, clear, straightforward and always saying what is advisable to remember and what are extra( but interesting) details. Totally recommendable. -course -Positive -The course is really well- planned as an introduction to Deep Learning. The $T$ of Andrew are the best, clear, straightforward and always saying what is advisable to remember and what are extra( but interesting) details. Totally recommendable. -vexplanations -Positive -The $T$ was clearly designed to understand forward propagation and backward propagation algorithm. The practice assignments helped us to implement the algorithm in code starting from scratch. Overall, a must to do to start in field of deep learning. -course -Positive -The course was clearly designed to understand forward propagation and backward propagation algorithm. The practice $T$ helped us to implement the algorithm in code starting from scratch. Overall, a must to do to start in field of deep learning. -assignments -Positive -The course was clearly designed to understand forward propagation and backward propagation algorithm. The practice assignments helped us to implement the algorithm in $T$ starting from scratch. Overall, a must to do to start in field of deep learning. -code -Positive -Excellent $T$! Great teaching, logical topic sequencing, and very well prepared materials( Jupyter notebooks, tasks cadence, quality of the assignments). I have already recommended this course to several friends. BTW, great value for the money! -course -Positive -Excellent course! Great $T$, logical topic sequencing, and very well prepared materials( Jupyter notebooks, tasks cadence, quality of the assignments). I have already recommended this course to several friends. BTW, great value for the money! -teaching -Positive -Excellent course! Great teaching, logical topic sequencing, and very well prepared $T$( Jupyter notebooks, tasks cadence, quality of the assignments). I have already recommended this course to several friends. BTW, great value for the money! -materials -Positive -As an Artificial Intelligence student, this $T$ has indeed helped me open to new opportunities to develop deep learning applications that I cannot wait to do! The course is well structured for both beginners and advanced learners, simple and direct! -course -Positive -As an Artificial Intelligence student, this course has indeed helped me open to new opportunities to develop deep learning applications that I cannot wait to do! The $T$ is well structured for both beginners and advanced learners, simple and direct! -course -Positive -This $T$ is really helpful to understand the underlining structures and intuitions of neural networks. It would be great if Andrew can also provide lecture notes after each week' s content( the same one as he provided in the Machine Learning course)! -course -Positive -This course is really helpful to understand the underlining structures and intuitions of neural networks. It would be great if Andrew can also provide lecture $T$ after each week' s content( the same one as he provided in the Machine Learning course)! -notes -Neutral -Best beginner' s $T$ on neural networks ever, taught by one of the greatest men in this field, divided into small, understandable lectures, challenging notebooks with ample support materials and great sets of quizzes. Couldn' t ask for anything more. -course -Positive -Best beginner' s course on neural networks ever, taught by one of the greatest men in this field, divided into small, understandable $T$, challenging notebooks with ample support materials and great sets of quizzes. Couldn' t ask for anything more. -lectures -Positive -Best beginner' s course on neural networks ever, taught by one of the greatest men in this field, divided into small, understandable lectures, challenging notebooks with ample support materials and great sets of $T$. Couldn' t ask for anything more. -quizzes -Positive -This introductory $T$ is so great I can' t put it in words, everyone interested in Neural Networks must check this out, discussion forum is almost perfect, the support is outstanding, TAs are passionate and Python implementations are so instructive. -course -Positive -This introductory course is so great I can' t put it in words, everyone interested in Neural Networks must check this out, discussion $T$ is almost perfect, the support is outstanding, TAs are passionate and Python implementations are so instructive. -forum -Positive -This introductory course is so great I can' t put it in words, everyone interested in Neural Networks must check this out, discussion forum is almost perfect, the support is outstanding, $T$ are passionate and Python implementations are so instructive. -TAs -Positive -This $T$ is awesome. It helped me in understanding neural network from scratch with mathematical intuitions. The assignments were added advantage of this course. They helped me in learning python implementation of various neural network algorithms. -course -Positive -This course is awesome. It helped me in understanding neural network from scratch with mathematical intuitions. The $T$ were added advantage of this course. They helped me in learning python implementation of various neural network algorithms. -assignments -Positive -Explicitly $T$ what is neural network and deep learning. Integrate mathematics and programming very well. You get more comprehensive understanding if you are comfortable with basic algebra and matrix calculation and have some experience in Python. -explain -Positive -Explicitly explain what is neural network and deep learning. Integrate mathematics and $T$ very well. You get more comprehensive understanding if you are comfortable with basic algebra and matrix calculation and have some experience in Python. -programming -Positive -The $T$ provided a full filling learning experience. I learnt a lot thanks to the concise and properly segmented video lectures with immediate hands- on practice. I am really really thankful to Coursera and deeplearning. ai for providing this course! -course -Positive -The course provided a full filling learning experience. I learnt a lot thanks to the concise and properly segmented $T$ with immediate hands- on practice. I am really really thankful to Coursera and deeplearning. ai for providing this course! -video lectures -Positive -The course provided a full filling learning experience. I learnt a lot thanks to the concise and properly segmented video lectures with immediate hands- on practice. I am really really thankful to $T$ and deeplearning. ai for providing this course! -Coursera -Positive -I really enjoyed Andrew' Ng $T$, it is not extremely fast( especially on calculus) but very quickly you find yourself handling relatively non obvious matters like the n layer deep neuron networks in a very clean implementation, I really appreciated -lessons -Positive -As usual, the way the $T$ is presented is astonishing. But, before attempting this course, you should first familiarize yourself with fundamentals of Python( by University of Michigan), and Machine Learning( by Professor Ng, Stanford University). -course -Positive -As usual, the way the course is presented is astonishing. But, before attempting this course, you should first familiarize yourself with $T$ of Python( by University of Michigan), and Machine Learning( by Professor Ng, Stanford University). -fundamentals -Neutral -The $T$ is simple to follow as it progresses from the fundamentals to more advanced topics. This is an excellent introduction to deep learning. I did not complete the original course everyone mentions( yet), so I do not mind the overlapping content. -course -Positive -The course is simple to follow as it progresses from the fundamentals to more advanced topics. This is an excellent $T$ to deep learning. I did not complete the original course everyone mentions( yet), so I do not mind the overlapping content. -introduction -Positive -A thorough understanding of deep leaning basics is acquired here. Brilliant $T$ by Andrew Ng as always. The programming assignments are also very beginner friendly( but you can dig even further if you want!). Really suits an introductory course. -teaching -Positive -A thorough understanding of deep leaning basics is acquired here. Brilliant teaching by Andrew Ng as always. The programming $T$ are also very beginner friendly( but you can dig even further if you want!). Really suits an introductory course. -assignments -Positive -A thorough understanding of deep leaning basics is acquired here. Brilliant teaching by Andrew Ng as always. The programming assignments are also very beginner friendly( but you can dig even further if you want!). Really suits an introductory $T$. -course -Positive -Basic blocks of Neural Network, Mathematics behind it was $T$ in detail and in lucid language. Could connect missing dots, which I had prior taking this course. Would request to add Deployment of DL models course as well in this specialization. -explained -Positive -Basic blocks of Neural Network, Mathematics behind it was explained in detail and in lucid $T$. Could connect missing dots, which I had prior taking this course. Would request to add Deployment of DL models course as well in this specialization. -language -Positive -Really enlightening and insightful experience for a seeker of deep learning covering all the concepts minutely along with exciting $T$ and lucid programming examples to help build a grasp on the basics of neural networking and its fundamentals. -exercises -Positive -Really enlightening and insightful experience for a seeker of deep learning covering all the concepts minutely along with exciting exercises and lucid $T$ examples to help build a grasp on the basics of neural networking and its fundamentals. -programming -Positive -Really enlightening and insightful experience for a seeker of deep learning covering all the concepts minutely along with exciting exercises and lucid programming examples to help build a grasp on the basics of neural networking and its $T$. -fundamentals -Positive -This $T$ gives me a clear idea about neural networks. Explanations and assignments were excellent. I learned a lot from the assignments. Some basic knowledge of Machine learning and basic python programming might be a prerequisite for this course. -course -Positive -This course gives me a clear idea about neural networks. Explanations and $T$ were excellent. I learned a lot from the assignments. Some basic knowledge of Machine learning and basic python programming might be a prerequisite for this course. -assignments -Positive -Excellent supplement to the machine learning course on coursera from Stanford online. High level of quality in terms of practical $T$ and detailed understanding of deep neural networks. Curious to follow- up the second course on deeplearning! -applications -Positive -Excellent supplement to the machine learning course on coursera from Stanford online. High level of quality in terms of practical applications and detailed $T$ of deep neural networks. Curious to follow- up the second course on deeplearning! -understanding -Positive -This $T$ talks about deep learning and shallow and deep neural networks. It makes me better understand the differences of concepts about neural networks in machine learning and deep learning. It also helps me review the knowledge about derivation. -course -Positive -Excellent $T$!! Mathematics behind the neural network is explained nicely. Smart selection of notation, this helps to simplify the equations. Andrew Ng' s teaching style is great, also the staff who structured the assignments have done great job. -course -Positive -Excellent course!! Mathematics behind the neural network is explained nicely. Smart selection of notation, this helps to simplify the equations. Andrew Ng' s $T$ style is great, also the staff who structured the assignments have done great job. -teaching -Positive -Excellent course!! Mathematics behind the neural network is explained nicely. Smart selection of notation, this helps to simplify the equations. Andrew Ng' s teaching style is great, also the $T$ who structured the assignments have done great job. -staff -Positive -The course $T$, quizzes and the programming assignments are excellently curated. The way things are explained esp. in the notebooks of the programming assignments is simply excellent. Thank You for being highly sincere while designing the course. -videos -Positive -The course videos, $T$ and the programming assignments are excellently curated. The way things are explained esp. in the notebooks of the programming assignments is simply excellent. Thank You for being highly sincere while designing the course. -quizzes -Positive -The course videos, quizzes and the $T$ are excellently curated. The way things are explained esp. in the notebooks of the programming assignments is simply excellent. Thank You for being highly sincere while designing the course. -programming assignments -Positive -Andrew Ng provided another great $T$. It exposes you to the essential ideas and mathematics behind neural networks and deep learning while not overwhelming you with the details. Looking forward to completing the following courses in the sequence. -course -Positive -I am very grateful to the course $T$ for giving a detailed intuition behind the working of Neural Networks and providing programming assignments to help us build the practical knowledge and apply the knowledge attained to build apllications. -instructor -Positive -I am very grateful to the course instructor for giving a detailed intuition behind the working of Neural Networks and providing $T$ to help us build the practical knowledge and apply the knowledge attained to build apllications. -programming assignments -Positive -Overall the $T$ was extraordinary. It helped me understand propagations deeply. the only thing which I think lacks is the interaction and understanding of theoretical data in terms of programming language. This is very helpful in job interviews. -course -Positive -Overall the course was extraordinary. It helped me understand propagations deeply. the only thing which I think lacks is the $T$ and understanding of theoretical data in terms of programming language. This is very helpful in job interviews. -interaction -Negative -This is the best $T$ to learn deep learning, highly recommended to anyone with basic knowledge of python. Very intuitive way to learn, charismatic professor and great practical work, which lets you really understand fully whole material. Thanks! -course -Positive -This is the best course to learn deep learning, highly recommended to anyone with basic knowledge of python. Very intuitive way to learn, charismatic $T$ and great practical work, which lets you really understand fully whole material. Thanks! -professor -Positive -This is the best course to learn deep learning, highly recommended to anyone with basic knowledge of python. Very intuitive way to learn, charismatic professor and great $T$, which lets you really understand fully whole material. Thanks! -practical work -Positive -In total a very good $T$. Explanations are very straightforward and kept just as complicated as necessary. However personally at some points I missed some mathematical depth, but I think this also not the claim within the field of deep learning. -course -Positive -Very interesting, provides enough hands on $T$ at the end of each units and lectures are good. It would have been nice to correct minor mistakes in videos instead of making a notice before though. Looking forward course 2 of the specialization! -exercises -Positive -Very interesting, provides enough hands on exercises at the end of each units and $T$ are good. It would have been nice to correct minor mistakes in videos instead of making a notice before though. Looking forward course 2 of the specialization! -lectures -Positive -Amazing $T$. All concepts are taught till considerable depth, all underlying mathematics is also taught loved this about it. Distribution into weeks is really amazing. This course and this specialization is the best among the courses I have seen -course -Positive -Amazing course. All $T$ are taught till considerable depth, all underlying mathematics is also taught loved this about it. Distribution into weeks is really amazing. This course and this specialization is the best among the courses I have seen -concepts -Positive -Amazing course. All concepts are taught till considerable depth, all underlying mathematics is also taught loved this about it. Distribution into weeks is really amazing. This $T$ and this specialization is the best among the courses I have seen -course -Positive -I liked $T$. Ng' s teaching style. His explanations are very clear. Especially interesting were the" Heroes of Deep Learning" interviews. The programming assignments were well- prepared and thoroughly improved my understanding of the subject matter. -Prof -Positive -I liked Prof. Ng' s teaching style. His $T$ are very clear. Especially interesting were the" Heroes of Deep Learning" interviews. The programming assignments were well- prepared and thoroughly improved my understanding of the subject matter. -explanations -Positive -I liked Prof. Ng' s teaching style. His explanations are very clear. Especially interesting were the" Heroes of Deep Learning" interviews. The programming $T$ were well- prepared and thoroughly improved my understanding of the subject matter. -assignments -Positive -This is an excellent $T$ for getting introduced to Neural networks and deep learning. I especially liked the assignments. They are not that complex but explains the concepts pretty well with very high quality jupiter notebooks. Excellent Stuff!! -course -Positive -This is an excellent course for getting introduced to Neural networks and deep learning. I especially liked the $T$. They are not that complex but explains the concepts pretty well with very high quality jupiter notebooks. Excellent Stuff!! -assignments -Positive -This $T$ offered well deliberated inputs for first time learner on Deep learning. Great overview and even more impressive way of presenting complex theoretical concepts in a compelling and easy to understand manner. Totally recommend this course! -course -Positive -This course offered well deliberated inputs for first time learner on Deep learning. Great overview and even more impressive way of presenting complex theoretical $T$ in a compelling and easy to understand manner. Totally recommend this course! -concepts -Positive -Amazing $T$! This course provide depth knowledge forward and backward propagations in detail with necessary derivates and also provide depth intro to neural network. And give me more intuition by providing programming assignments in each weeks. -course -Positive -Amazing course! This course provide depth knowledge forward and backward propagations in detail with necessary derivates and also provide depth intro to neural network. And give me more intuition by providing $T$ in each weeks. -programming assignments -Positive -Nice Concise $T$ to Neural Networks. Toy examples to grasp matrix operations would have been awesome and would' ve further reinforced the understanding. Overall it' s a very good intro to anyone who wants to venture into Deep Learning space -introduction -Positive -Nice Concise introduction to Neural Networks. Toy $T$ to grasp matrix operations would have been awesome and would' ve further reinforced the understanding. Overall it' s a very good intro to anyone who wants to venture into Deep Learning space -examples -Neutral -This $T$ is a great introduction to deep learning. It' s detailed and the programming assignments are really useful. It doesn' t depend on your understanding of math, but having a mathematical background would help you get a deeper understanding. -course -Positive -This course is a great introduction to deep learning. It' s detailed and the programming $T$ are really useful. It doesn' t depend on your understanding of math, but having a mathematical background would help you get a deeper understanding. -assignments -Positive -Great $T$! Provides an comprehensive, detailed yet easy- to- understand description of Deep Learning Networks. The quizzes and Programming Assignments are thoughtfully designed to facilitate a deeper understanding of the application of concepts! -course -Positive -Great course! Provides an comprehensive, detailed yet easy- to- understand description of Deep Learning Networks. The $T$ and Programming Assignments are thoughtfully designed to facilitate a deeper understanding of the application of concepts! -quizzes -Positive -Great course! Provides an comprehensive, detailed yet easy- to- understand description of Deep Learning Networks. The quizzes and $T$ are thoughtfully designed to facilitate a deeper understanding of the application of concepts! -Programming Assignments -Positive -That' s really a fantastic $T$ I' ve ever taken on Coursera. Andrew Ng gradually illustrates the theory of deep learning from a single neural network logistic regression to building a L- layer neural network. That' s impressive and helps me a lot. -course -Positive -That' s really a fantastic course I' ve ever taken on $T$. Andrew Ng gradually illustrates the theory of deep learning from a single neural network logistic regression to building a L- layer neural network. That' s impressive and helps me a lot. -Coursera -Positive -That' s really a fantastic course I' ve ever taken on Coursera. $T$ Ng gradually illustrates the theory of deep learning from a single neural network logistic regression to building a L- layer neural network. That' s impressive and helps me a lot. -Andrew -Positive -The $T$ are very good, but this course is not for beginners about Machine learning and Deep learning because it contains many math and statistic terms, algorithms. The practice assignments with Notebooks are cool with really helpful guidelines. -videos -Positive -The videos are very good, but this course is not for beginners about Machine learning and Deep learning because it contains many math and statistic terms, algorithms. The practice $T$ with Notebooks are cool with really helpful guidelines. -assignments -Positive -This training $T$ was incredibly useful for me and taught me very valuable content. For this educational experience, I am grateful to Andrew Ng, Coursera, and Kian Katanforoosh. Deep learning has the potential to revolutionize my career path. -course -Positive -This training course was incredibly useful for me and taught me very valuable $T$. For this educational experience, I am grateful to Andrew Ng, Coursera, and Kian Katanforoosh. Deep learning has the potential to revolutionize my career path. -content -Positive -This training course was incredibly useful for me and taught me very valuable content. For this educational experience, I am grateful to Andrew Ng, $T$, and Kian Katanforoosh. Deep learning has the potential to revolutionize my career path. -Coursera -Positive -Really insightful $T$. As a data science practitioner, getting back to the roots of the linear algebra and calculus was scary at first, but Andrew Ng' s explanation of it all makes it so much easier! Must recommend for beginners/ intermediates. -course -Positive -Really insightful course. As a data science practitioner, getting back to the roots of the linear algebra and calculus was scary at first, but Andrew Ng' s $T$ of it all makes it so much easier! Must recommend for beginners/ intermediates. -explanation -Positive -Just Outstanding. Starting from basics and guiding through the tough calculations, and giving a very good insight of the neural networks, this is truly an important $T$ to clear the basics and mathematical calculations of the neural networks -course -Positive -Very curated and well prepared awesome $T$. It drives you in having' hand- on' experience and real instruments to build your deep neural network providing intuition on mathematics behind without requiring to have a in depth calculus knowledge. -course -Positive -love this $T$, big fans of Andrew. The structure of this course is absolutely clear and the reviews of each week are very intuitive. And the programming assignments are even more intuitive! -course -Positive -love this course, big fans of Andrew. The $T$ of this course is absolutely clear and the reviews of each week are very intuitive. And the programming assignments are even more intuitive! -structure -Positive -love this course, big fans of Andrew. The structure of this course is absolutely clear and the reviews of each week are very intuitive. And the $T$ are even more intuitive! -programming assignments -Positive -Highly recommended for those who are interested in DeepLearning. The $T$ are very engaging and doing assignments gives concrete understanding of the concepts. I thank Andrew Ng sir for his vivid explanation and intuition of complex concepts -lectures -Positive -Highly recommended for those who are interested in DeepLearning. The lectures are very engaging and doing $T$ gives concrete understanding of the concepts. I thank Andrew Ng sir for his vivid explanation and intuition of complex concepts -assignments -Positive -Highly recommended for those who are interested in DeepLearning. The lectures are very engaging and doing assignments gives concrete understanding of the $T$. I thank Andrew Ng sir for his vivid explanation and intuition of complex concepts -concepts -Positive -Highly recommended for those who are interested in DeepLearning. The lectures are very engaging and doing assignments gives concrete understanding of the concepts. I thank Andrew Ng $T$ for his vivid explanation and intuition of complex concepts -sir -Positive -The $T$ started from scratch that is from single layer network followed by two layer network and finally deep neural network. so, by the end of specialization I have successfully learned to implement neural network to classification problems -course -Positive -The course started from scratch that is from single layer network followed by two layer network and finally deep neural network. so, by the end of specialization I have successfully $T$ to implement neural network to classification problems -learned -Positive -Pleasantly and clearly presented by the $T$. Appropriately repetitive for those of us who have to re- find aged matrix skills. The notebook assignments are an excellent introduction to the relationship between concept and real processes. -instructor -Positive -Pleasantly and clearly presented by the instructor. Appropriately repetitive for those of us who have to re- find aged matrix skills. The notebook $T$ are an excellent introduction to the relationship between concept and real processes. -assignments -Positive -This $T$ totally simplifies the machine learning course by Stanford University. Some Neural network and python numpy library knowledge will let anyone take this course and this could be the best start for anyone interested in deep learning. -course -Positive -This course totally simplifies the machine learning course by Stanford University. Some Neural network and python numpy library knowledge will let anyone take this $T$ and this could be the best start for anyone interested in deep learning. -course -Positive -Amazing $T$ to start your Journey into Deep Learning. Prof. Andrew Ng' s intutions about lot of complex mathematics are just amaing and really easy to understand. The course has really helped me in uderstanding a basic ANN arcticture deeply. -course -Positive -Amazing course to start your Journey into Deep Learning. $T$. Andrew Ng' s intutions about lot of complex mathematics are just amaing and really easy to understand. The course has really helped me in uderstanding a basic ANN arcticture deeply. -Prof -Positive -This $T$ does an amazing job of teaching some of the principles of designing Artificial Neural Networks. The instructors are insightful and knowledgeable, and the videos are incredibly intuitive. A must for those interested in these fields. -course -Positive -This course does an amazing job of teaching some of the principles of designing Artificial Neural Networks. The $T$ are insightful and knowledgeable, and the videos are incredibly intuitive. A must for those interested in these fields. -instructors -Positive -This course does an amazing job of teaching some of the principles of designing Artificial Neural Networks. The instructors are insightful and knowledgeable, and the $T$ are incredibly intuitive. A must for those interested in these fields. -videos -Positive -wonderful $T$, created interest towards calculus, interviews with hero' s of deep learning motivated me a lot to go through difficult parts of calculus and to understand basics of deep neural nets. Hoping to complete remaining courses soon. -course -Positive -wonderful course, created interest towards calculus, interviews with hero' s of deep learning motivated me a lot to go through difficult parts of calculus and to understand $T$ of deep neural nets. Hoping to complete remaining courses soon. -basics -Positive -Once again, $T$. Ng shares his deep knowledge and gentle mathematical overview around Neural Networks, why and how they work, and useful programming assignments in Python. Highly recommended for any ML/ AI researcher, student and practitioner! -Prof -Positive -Once again, Prof. Ng shares his deep knowledge and gentle mathematical overview around Neural Networks, why and how they work, and useful programming $T$ in Python. Highly recommended for any ML/ AI researcher, student and practitioner! -assignments -Positive -The best $T$ of introduction to deep learning i' ve ever take. The professor Andrew is excelent explaining these topics and gives us a very good intuition and understanding of the neural networks models and the algebra associated with them. -course -Positive -The best course of introduction to deep learning i' ve ever take. The $T$ Andrew is excelent explaining these topics and gives us a very good intuition and understanding of the neural networks models and the algebra associated with them. -professor -Positive -The $T$ are very useful in understanding Neural networks. There wasnt much of a struggle in finding the required documentation/ information whenever needed. The assignments and quizzes proved to be helpful in grading myself after each week. -videos -Positive -The videos are very useful in understanding Neural networks. There wasnt much of a struggle in finding the required documentation/ information whenever needed. The $T$ and quizzes proved to be helpful in grading myself after each week. -assignments -Positive -The videos are very useful in understanding Neural networks. There wasnt much of a struggle in finding the required documentation/ information whenever needed. The assignments and $T$ proved to be helpful in grading myself after each week. -quizzes -Positive -Good $T$ to the basics of creating your own deep learning model without using any frameworks. Provides intuitions and explanations for all the formulas used so you can really understand why it is done like that. Amazing lecturer too. -introduction -Positive -Difficult $T$ taught in an extremely easy and interesting approach. Programming assignments are created in a very organized manner so that learners can understand many underlying concepts easily and gradually increase their learning rate. -subject -Negative -Difficult subject taught in an extremely easy and interesting $T$. Programming assignments are created in a very organized manner so that learners can understand many underlying concepts easily and gradually increase their learning rate. -approach -Positive -Difficult subject taught in an extremely easy and interesting approach. $T$ are created in a very organized manner so that learners can understand many underlying concepts easily and gradually increase their learning rate. -Programming assignments -Positive -Great $T$, really accessible. All you need is a basic understanding of coding concepts and machine learning( at its base), and the course will lead you through everything. Great balance between theoretical background and coding assignments. -course -Positive -Great course, really accessible. All you need is a basic understanding of coding concepts and machine learning( at its base), and the course will lead you through everything. Great balance between theoretical background and coding $T$. -assignments -Positive -Good $T$ to start with basic concepts of neural network and deep neural networks. It gives exhaustive exercises and questions to cross- check the concept learns. Thank you very much for financial aid and designing such a well paced course. -course -Positive -Good course to start with basic concepts of neural network and deep neural networks. It gives exhaustive $T$ and questions to cross- check the concept learns. Thank you very much for financial aid and designing such a well paced course. -exercises -Positive -Good course to start with basic concepts of neural network and deep neural networks. It gives exhaustive exercises and questions to cross- check the concept learns. Thank you very much for financial aid and designing such a well $T$ course. -paced -Positive -It has been an amazing journey! I recommend this $T$ for people who like challenges and who seek for simple and clear explanations for complicated tasks. This course has a very good structure, interesting lectures and inspiring exercises. -course -Positive -It has been an amazing journey! I recommend this course for people who like challenges and who seek for simple and clear explanations for complicated tasks. This course has a very good $T$, interesting lectures and inspiring exercises. -structure -Positive -It has been an amazing journey! I recommend this course for people who like challenges and who seek for simple and clear explanations for complicated tasks. This course has a very good structure, interesting $T$ and inspiring exercises. -lectures -Positive -It has been an amazing journey! I recommend this course for people who like challenges and who seek for simple and clear explanations for complicated tasks. This course has a very good structure, interesting lectures and inspiring $T$. -exercises -Positive -Very good introduction and $T$ for Deep Learning. The programming exercises are too easy in my opinion, because you only have to fill in some lines. The focus of this course is not programming. It' s more about how Neural Networks works. -foundation -Positive -Very good introduction and foundation for Deep Learning. The $T$ are too easy in my opinion, because you only have to fill in some lines. The focus of this course is not programming. It' s more about how Neural Networks works. -programming exercises -Negative -Great introduction to Neural Networks with well balanced $T$ and practice. Although quite complex in places( i. e. back- propagation derivatives) it is well explained and thoughtfully laid out to build on the concepts learnt. Great course! -theory -Positive -Great introduction to Neural Networks with well balanced theory and $T$. Although quite complex in places( i. e. back- propagation derivatives) it is well explained and thoughtfully laid out to build on the concepts learnt. Great course! -practice -Positive -Great introduction to Neural Networks with well balanced theory and practice. Although quite complex in places( i. e. back- propagation derivatives) it is well explained and thoughtfully laid out to build on the concepts learnt. Great $T$! -course -Positive -I really enjoyed this excellent $T$. This introduction to deep learning is very well- structured with practicing developing modular Python NN code by reusing building blocks. Prof. Andrew Ng teaching style is second to none. Many thanks! -course -Positive -I really enjoyed this excellent course. This introduction to deep learning is very well- structured with practicing developing modular Python NN code by reusing building blocks. $T$. Andrew Ng teaching style is second to none. Many thanks! -Prof -Positive -Best $T$ on Neural Networks, the topics are structured so well, it' s possible to understand and implement a neural network from scratch during a weekend!! Andrew doesn' t drown you in lots of unnecessary details and focuses on the essence. -Course -Positive -Best Course on Neural Networks, the topics are structured so well, it' s possible to understand and implement a neural network from scratch during a weekend!! $T$ doesn' t drown you in lots of unnecessary details and focuses on the essence. -Andrew -Positive -A fantastic introduction to Deep Learning. The $T$ does a great job at introducing the concepts little by little, letting you implement the main concepts of deep learning, while not throwing you into the entire code set from scratch. -instructor -Positive -A fantastic introduction to Deep Learning. The instructor does a great job at introducing the $T$ little by little, letting you implement the main concepts of deep learning, while not throwing you into the entire code set from scratch. -concepts -Positive -$T$ Andrew Ng is a legend! I understood Forward and Backward propagation well now. There is a lot of drama out there- linking Neural Nets with Brain- This is really not appropriate and Professor clearly explained the concepts. Thanks -Professor -Positive -Intuitive and rewarding introduction to Neural Networks. Leaves you with huge appetite for the next 4 courses. Many thanks to $T$ Ng and his team for putting this together! Thanks Coursera for making this available, keep the good work! -Professor -Positive -Intuitive and rewarding introduction to Neural Networks. Leaves you with huge appetite for the next 4 courses. Many thanks to Professor Ng and his team for putting this together! Thanks $T$ for making this available, keep the good work! -Coursera -Positive -Amazing job guys! keep that spirit! This $T$ is recommended for anybody, even those already working in deep learning will find something interesting, success hides in little things, and with this course you would cover ALL those things. -course -Positive -Very well- thought $T$ of the course with incremental complexity. I appreciated Andrew' s relentless focus on making sure notation is well understood- this was instrumental in getting familiar with and absorbing all the concepts. -structure -Positive -Very well- thought structure of the course with incremental complexity. I appreciated Andrew' s relentless focus on making sure notation is well understood- this was instrumental in getting familiar with and absorbing all the $T$. -concepts -Positive -I am giving full stars because it' s covers the $T$ of deep learning. It really kicks off your learning process on Deep learning. I found the programming assignments very handy and quite useful. Take your time to complete them. -foundations -Positive -I am giving full stars because it' s covers the foundations of deep learning. It really kicks off your learning process on Deep learning. I found the $T$ very handy and quite useful. Take your time to complete them. -programming assignments -Positive -Pretty detailed in terms of $T$ the fundamentals of how a neural network works. The learning algorithm is broken down into steps, each step individually coached on, implemented and tested. Pretty good knowledge testing questions. -teaching -Positive -Pretty detailed in terms of teaching the fundamentals of how a neural network works. The learning algorithm is broken down into steps, each step individually coached on, implemented and tested. Pretty good knowledge testing $T$. -questions -Positive -Great $T$! A basic knowledge of python is necessary. Andrew Ng does not fear to dive in technical details, which makes the class sometimes difficult, but this permit a better understanding of the concepts that underpin deep learning. -class -Positive -Great class! A basic knowledge of python is necessary. $T$ Ng does not fear to dive in technical details, which makes the class sometimes difficult, but this permit a better understanding of the concepts that underpin deep learning. -Andrew -Positive -Great class! A basic knowledge of python is necessary. Andrew Ng does not fear to dive in technical details, which makes the class sometimes difficult, but this permit a better understanding of the $T$ that underpin deep learning. -concepts -Positive -Thanks for the $T$. I really enjoyed it.(+) Really excellent course. Well presented, enough details for beginners to get started without making videos unnecessarily long. Course resources are very good. -course -Positive -Thanks for the course. I really enjoyed it.(+) Really excellent course. Well $T$, enough details for beginners to get started without making videos unnecessarily long. Course resources are very good. -presented -Positive -Thanks for the course. I really enjoyed it.(+) Really excellent course. Well presented, enough details for beginners to get started without making $T$ unnecessarily long. Course resources are very good. -videos -Positive -Thanks for the course. I really enjoyed it.(+) Really excellent course. Well presented, enough details for beginners to get started without making videos unnecessarily long. Course $T$ are very good. -resources -Positive -Straight to the point, good balance of $T$ and practice with additional references given to explore further. Andrew is an extraordinary lecturer, a master on providing quick intuition and progressively build a deeper understanding. -theory -Positive -Straight to the point, good balance of theory and $T$ with additional references given to explore further. Andrew is an extraordinary lecturer, a master on providing quick intuition and progressively build a deeper understanding. -practice -Positive -Straight to the point, good balance of theory and practice with additional references given to explore further. Andrew is an extraordinary $T$, a master on providing quick intuition and progressively build a deeper understanding. -lecturer -Positive -After completing this $T$ I have the confidence and understanding of Neural Networks which I would be lacking had I read thousands of articles on the subject. The assignments helped the learning and many thanks to Professor Andrew. -course -Positive -After completing this course I have the confidence and understanding of Neural Networks which I would be lacking had I read thousands of articles on the subject. The $T$ helped the learning and many thanks to Professor Andrew. -assignments -Positive -After completing this course I have the confidence and understanding of Neural Networks which I would be lacking had I read thousands of articles on the subject. The assignments helped the learning and many thanks to $T$ Andrew. -Professor -Positive -$T$ of Neural network setup and implementation is covered in the best and most straight forward way possible! Assignments could have been more challenging, but they are essential for the step by step build up of the lectures. -Fundamentals -Positive -Fundamentals of Neural network setup and implementation is covered in the best and most straight forward way possible! $T$ could have been more challenging, but they are essential for the step by step build up of the lectures. -Assignments -Neutral -Great quick $T$ especially for those not too familiar with python, as it introduces numpy to python novices like myself. Fairly straightforward to use the matrix functions if you are already familiar with linear algebra and matlab -course -Positive -The traditional way to understand deep neural network is quite fascinating and understanding the math behind the DNN with quite knowledge in advance calculus and matrix analysis is also very interesting. Totally loved this $T$ < 3. -course -Positive -the $T$ really great from all aspects, the programming assignment was really interesting and I learned a lot it goes with you with every tiny detail, also prof Andrew explained every detailed implementation and the intuition behind -course -Positive -the course really great from all aspects, the $T$ was really interesting and I learned a lot it goes with you with every tiny detail, also prof Andrew explained every detailed implementation and the intuition behind -programming assignment -Positive -the course really great from all aspects, the programming assignment was really interesting and I learned a lot it goes with you with every tiny detail, also $T$ Andrew explained every detailed implementation and the intuition behind -prof -Positive -This $T$ is designed very carefully and instruction is also clearly given. Professors are well in knowledge and instructions. Practice problem is designed very well to get knowledge of programming as well as a deep neural network. -course -Positive -This course is designed very carefully and $T$ is also clearly given. Professors are well in knowledge and instructions. Practice problem is designed very well to get knowledge of programming as well as a deep neural network. -instruction -Positive -This course is designed very carefully and instruction is also clearly given. $T$ are well in knowledge and instructions. Practice problem is designed very well to get knowledge of programming as well as a deep neural network. -Professors -Positive -This course is designed very carefully and instruction is also clearly given. Professors are well in knowledge and instructions. Practice $T$ is designed very well to get knowledge of programming as well as a deep neural network. -problem -Positive -Andrew Ng is always perfect $T$! I am really fan of him. I took" Neural Networks and Deep Learning" after taking his" Machine Learning" class. -professor -Positive -$T$ is just beginner- friendly. And any beginner out there who wants to start their carrier in DL, this is the right place. Assignments get tougher as you proceed, but can be solved easily with a good understanding of the material. -Material -Neutral -Material is just beginner- friendly. And any beginner out there who wants to start their carrier in DL, this is the right place. $T$ get tougher as you proceed, but can be solved easily with a good understanding of the material. -Assignments -Positive -This is an excellent $T$. If you desire to understand the inner workings of neural networks, then please take this course. Dr. Andrew NG has a beautiful way of explaining complex topics in a simple, engaging and descriptive style. -course -Positive -This is an excellent course. If you desire to understand the inner workings of neural networks, then please take this course. Dr. $T$ NG has a beautiful way of explaining complex topics in a simple, engaging and descriptive style. -Andrew -Positive -The $T$ is apt and covers all the necessary stuff required for getting into the field of deep learning. Solving assignments and building models entirely by code than using any library directly help to better understand the models. -course -Positive -The course is apt and covers all the necessary stuff required for getting into the field of deep learning. Solving $T$ and building models entirely by code than using any library directly help to better understand the models. -assignments -Positive -Excellent $T$ if you want to understand how fundamentally a neural network works. Andrew has explained really difficult concepts in such a systematic manner that the concepts get embedded in your mind forever by the end of Week 4. -course -Positive -Excellent course if you want to understand how fundamentally a neural network works. $T$ has explained really difficult concepts in such a systematic manner that the concepts get embedded in your mind forever by the end of Week 4. -Andrew -Positive -Excellent course if you want to understand how fundamentally a neural network works. Andrew has explained really difficult concepts in such a systematic manner that the $T$ get embedded in your mind forever by the end of Week 4. -concepts -Positive -Excellent $T$. Professor Andrew NG goes straight to the point and provides the math intuitions at the same time. This course has a good equilibrium between math foundations of Deep Learning, Python implementation and application. -course -Positive -Excellent course. $T$ Andrew NG goes straight to the point and provides the math intuitions at the same time. This course has a good equilibrium between math foundations of Deep Learning, Python implementation and application. -Professor -Positive -Excellent $T$ by Andrew Ng sir. But i would like to suggest that respected Coursera Team please focus on Programming portion also in Lecture videos so that it will help to visualize Assignments more. Andrew Ng sir is Legend. -Explanation -Positive -Excellent Explanation by Andrew Ng $T$. But i would like to suggest that respected Coursera Team please focus on Programming portion also in Lecture videos so that it will help to visualize Assignments more. Andrew Ng sir is Legend. -sir -Positive -Excellent Explanation by Andrew Ng sir. But i would like to suggest that respected $T$ Team please focus on Programming portion also in Lecture videos so that it will help to visualize Assignments more. Andrew Ng sir is Legend. -Coursera -Neutral -Excellent Explanation by Andrew Ng sir. But i would like to suggest that respected Coursera Team please focus on $T$ portion also in Lecture videos so that it will help to visualize Assignments more. Andrew Ng sir is Legend. -Programming -Neutral -I tried a few more $T$ to complete, unfortunately I had to leave the middle of those courses. But, In this course, Andrew explains everything simply, and there more visualization then speech which helps me to understand clearly. -courses -Negative -I tried a few more courses to complete, unfortunately I had to leave the middle of those courses. But, In this $T$, Andrew explains everything simply, and there more visualization then speech which helps me to understand clearly. -course -Positive -I fulfilled my first step of learning. looking forward to continue the course specialization. I am really lucky to have such an amazing $T$. Thanks a ton to Deeplearning. ai and Course Era for bringing such an amazing Course. -instructors -Positive -I fulfilled my first step of learning. looking forward to continue the course specialization. I am really lucky to have such an amazing instructors. Thanks a ton to Deeplearning. ai and $T$ for bringing such an amazing Course. -CourseEra -Positive -I fulfilled my first step of learning. looking forward to continue the course specialization. I am really lucky to have such an amazing instructors. Thanks a ton to Deeplearning. ai and Course Era for bringing such an amazing $T$. -Course -Positive -Very interesting and knowledgeable $T$ for beginners in Neural Network and artificial Intelligence. It help me in improving my knowledge in deep learning. The course content is very good and fully explained by video and exercise. -course -Positive -Very interesting and knowledgeable course for beginners in Neural Network and artificial Intelligence. It help me in improving my knowledge in deep learning. The course $T$ is very good and fully explained by video and exercise. -content -Positive -Very interesting and knowledgeable course for beginners in Neural Network and artificial Intelligence. It help me in improving my knowledge in deep learning. The course content is very good and fully explained by $T$ and exercise. -video -Positive -Very interesting and knowledgeable course for beginners in Neural Network and artificial Intelligence. It help me in improving my knowledge in deep learning. The course content is very good and fully explained by video and $T$. -exercise -Positive -For an enthusiast, who never( formally) learned any programming, and never learned any calculus or linear algebra, this $T$, however challenging, is the right way to kick off into the field of machine learning. Highly recommend it -course -Positive -Great $T$. One challenge with these this type of course is that the programming assignments are rather fill- in- the- blank, so it doesn' t force you to develop your skills as much as if you were implementing something from scratch. -course -Positive -Great course. One challenge with these this type of course is that the $T$ are rather fill- in- the- blank, so it doesn' t force you to develop your skills as much as if you were implementing something from scratch. -programming assignments -Negative -Great course. One challenge with these this type of course is that the programming assignments are rather fill- in- the- blank, so it doesn' t force you to develop your $T$ as much as if you were implementing something from scratch. -skills -Negative -The is really good. Without a perfect knowledge of any calculus i understood the $T$. Programming assignments are fun, they focus on algorithms and all the other is removed. Coursera notebook eliminated the need of good hardware -concepts -Positive -The is really good. Without a perfect knowledge of any calculus i understood the concepts. $T$ are fun, they focus on algorithms and all the other is removed. Coursera notebook eliminated the need of good hardware -Programming assignments -Positive -Easy to follow, content is logic, the $T$ are easy to understand, this course totally include the basic concept of deep learning, it' s absolutely useful for someone who wants to try exploding this field. I love this course -instructions -Positive -Easy to follow, content is logic, the instructions are easy to understand, this $T$ totally include the basic concept of deep learning, it' s absolutely useful for someone who wants to try exploding this field. I love this course -course -Positive -Andrew Ng is a world leading AI researcher and engineer, he also has superb $T$ skills. The course is so rigorous and practical, it is probably the best out there including the best universities and top technology companies... -teaching -Positive -Andrew Ng is a world leading AI researcher and engineer, he also has superb teaching skills. The $T$ is so rigorous and practical, it is probably the best out there including the best universities and top technology companies... -course -Positive -This $T$ mage machine learning and neural networks very accessible to me, even though I only have a beginner background in computer science/ python. The programming assignments are very guided, which is good if you' re a beginner. -course -Positive -This course mage machine learning and neural networks very accessible to me, even though I only have a beginner background in computer science/ python. The $T$ are very guided, which is good if you' re a beginner. -programming assignments -Positive -Excellent step by step introduction to this seemingly very complicated subject of deep learning as it appears to a novice. Thanks so much $T$ for creating this course. Looking forward to some other courses in this specialization -Andrew -Positive -Excellent step by step introduction to this seemingly very complicated subject of deep learning as it appears to a novice. Thanks so much Andrew for creating this $T$. Looking forward to some other courses in this specialization -course -Positive -Learnt a great deal about implementing a deep learning application, the $T$ and programming assignments were designed with so much care so that anyone with or limited programming background could get it done. Great effort! -assignments -Positive -Learnt a great deal about implementing a deep learning application, the assignments and $T$ were designed with so much care so that anyone with or limited programming background could get it done. Great effort! -programming assignments -Positive -the $T$ is excellent, the teacher can make any rookie understand and have a machine learning concept and direction. unfortunately, the homework system has some bugs, and which will definitely influence you to do the assignment. -course -Positive -the course is excellent, the $T$ can make any rookie understand and have a machine learning concept and direction. unfortunately, the homework system has some bugs, and which will definitely influence you to do the assignment. -teacher -Positive -the course is excellent, the teacher can make any rookie understand and have a machine learning concept and direction. unfortunately, the $T$ system has some bugs, and which will definitely influence you to do the assignment. -homework -Negative -This $T$ has given me deeper insight on neural networks and deep learning. I enjoyed the lecture videos and programming assignments. I can' t stop thinking what I can achieve next with the knowledge I' ve gathered in this course. -course -Positive -This course has given me deeper insight on neural networks and deep learning. I enjoyed the lecture $T$ and programming assignments. I can' t stop thinking what I can achieve next with the knowledge I' ve gathered in this course. -videos -Positive -This course has given me deeper insight on neural networks and deep learning. I enjoyed the lecture videos and $T$. I can' t stop thinking what I can achieve next with the knowledge I' ve gathered in this course. -programming assignments -Positive -Clear and effective initiation into neural networks. Repetitive display of outline in $T$, reading and programming assignments has cemented the foundations and understanding of neiral networks. Excited to start the next course! -videos -Positive -Clear and effective initiation into neural networks. Repetitive display of outline in videos, reading and $T$ has cemented the foundations and understanding of neiral networks. Excited to start the next course! -programming assignments -Positive -A pleasant introduction to the fundamentals of machine learning. Eager to continue with the next course of the specialization. $T$ is a delight to learn from and his timely inputs from his experience in the industry is helpful. -Andrew -Positive -Very nice $T$, I specifically like the programming assignments which provides a lot of helper functions so that the attendee can focus on the most important part/ message which is being made clear by the programming assignments -course -Positive -Very nice course, I specifically like the $T$ which provides a lot of helper functions so that the attendee can focus on the most important part/ message which is being made clear by the programming assignments -programming assignments -Positive -This $T$ helped me move more deeper in understanding neural networks. Good, structured, and detailed explanation of each topic is really useful and helpful. Really enjoy of travelling" forward and backward" in neural networks! -course -Positive -This course helped me move more deeper in understanding neural networks. Good, structured, and detailed $T$ of each topic is really useful and helpful. Really enjoy of travelling" forward and backward" in neural networks! -explanation -Positive -The $T$ are comparatively easy. I was able to watch videos and complete assignments in 6- 8 hour long sitting in a single day. This actually helped me to complete the assignment while I had work commitments during the week. -assignments -Neutral -The assignments are comparatively easy. I was able to watch $T$ and complete assignments in 6- 8 hour long sitting in a single day. This actually helped me to complete the assignment while I had work commitments during the week. -videos -Positive -Great $T$ to learn and really understand concepts and math behind Artificial Neural Networks. I' ve read many blogs and watched many YouTube videos in this area, but none of them are like this course coherent and well organized. -course -Positive -Great course to learn and really understand $T$ and math behind Artificial Neural Networks. I' ve read many blogs and watched many YouTube videos in this area, but none of them are like this course coherent and well organized. -concepts -Positive -Great course to learn and really understand concepts and math behind Artificial Neural Networks. I' ve read many blogs and watched many YouTube videos in this area, but none of them are like this $T$ coherent and well organized. -course -Positive -This is $T$ gives a very good insight and intuitions about neural networking concepts, along with proper mathematical explanation. Also it is great that here one could also effectively implement the concepts through python code -course -Positive -This is course gives a very good insight and intuitions about neural networking concepts, along with proper mathematical explanation. Also it is great that here one could also effectively implement the $T$ through python code -concepts -Positive -Wonderful $T$, thanks so much Andrew Ng et al for creating, running and polishing it! Excellent explanation of the value, mechanics, and math behind neural networks. The interviews with deep learning experts are a nice bonus. -course -Positive -Wonderful course, thanks so much $T$ Ng et al for creating, running and polishing it! Excellent explanation of the value, mechanics, and math behind neural networks. The interviews with deep learning experts are a nice bonus. -Andrew -Positive -The best $T$ for understanding deep neural networks. I came here after learning from many other platforms but didn' t understand the basic intuition. And now finally I understood Neural Network:) ( y) Thank you Andrew Ng < 3 -tutorial -Positive -The best tutorial for understanding deep neural networks. I came here after learning from many other platforms but didn' t understand the basic intuition. And now finally I understood Neural Network:) ( y) Thank you $T$ Ng < 3 -Andrew -Positive -Helped me understand the mathematics behind Neural Nets and helped me dive deeper into Deep Learning. The $T$ were really well made and enjoyable to solve. Professor NG explained all concepts very thoroughly. -programming assignments -Positive -Helped me understand the mathematics behind Neural Nets and helped me dive deeper into Deep Learning. The programming assignments were really well made and enjoyable to solve. $T$ NG explained all concepts very thoroughly. -Professor -Positive -Helped me understand the mathematics behind Neural Nets and helped me dive deeper into Deep Learning. The programming assignments were really well made and enjoyable to solve. Professor NG explained all $T$ very thoroughly. -concepts -Positive -Overall, an excellent $T$, with a good balance between video lessons, quizzes, and coding assignments. The Notebooks and automated graders are a bit delicate but the Discussion section and community eases the learning curve. -class -Positive -Overall, an excellent class, with a good balance between $T$ lessons, quizzes, and coding assignments. The Notebooks and automated graders are a bit delicate but the Discussion section and community eases the learning curve. -video -Positive -Overall, an excellent class, with a good balance between video lessons, $T$, and coding assignments. The Notebooks and automated graders are a bit delicate but the Discussion section and community eases the learning curve. -quizzes -Positive -Overall, an excellent class, with a good balance between video lessons, quizzes, and $T$. The Notebooks and automated graders are a bit delicate but the Discussion section and community eases the learning curve. -coding assignments -Positive -Overall, an excellent class, with a good balance between video lessons, quizzes, and coding assignments. The Notebooks and $T$ are a bit delicate but the Discussion section and community eases the learning curve. -automated graders -Neutral -Overall, an excellent class, with a good balance between video lessons, quizzes, and coding assignments. The Notebooks and automated graders are a bit delicate but the Discussion section and $T$ eases the learning curve. -community -Positive -Well designed, interactive and suited to a variety of starting aptitudes. Although I found more than enough help was given during the $T$, I' ve found that I' ve picked things up better as a function of it. -programming exercises -Positive -Excellent $T$. The most important part of this course was the well explained Mathematics theory by Andrew Sir. Thank you sir for giving the basic mathematics for implementing this neural network and deep learning model. -Course -Positive -Excellent Course. The most important part of this course was the well explained Mathematics theory by Andrew $T$. Thank you sir for giving the basic mathematics for implementing this neural network and deep learning model. -Sir -Positive -The $T$ is very structured. Step by step a neural network building process is demonstrated. I recommend this course to anyone who wants to start from the first principle approach and also just for learning purposes too. -course -Positive -It was like an adventure. $T$ were relatively easier than the programming assignments although both have their weight. Andrew is so skilled professor, I must admit he teaches better than our course teacher at college. -Quizzes -Neutral -It was like an adventure. Quizzes were relatively easier than the $T$ although both have their weight. Andrew is so skilled professor, I must admit he teaches better than our course teacher at college. -programming assignments -Positive -It was like an adventure. Quizzes were relatively easier than the programming assignments although both have their weight. Andrew is so skilled $T$, I must admit he teaches better than our course teacher at college. -professor -Positive -The best $T$ to put your first steps in the world of artificial intelligence even if there is a small prior knowledge about calculus and algebra, but it' s not necessary. Love everyone who contributed to this! Thank you! -course -Positive -This course gave me a very good insight into Neural networks and deep learning $T$. The programming assignments helped me to gain a very good hands- on experience of implementing a different variety of neural networks. -concepts -Positive -This course gave me a very good insight into Neural networks and deep learning concepts. The $T$ helped me to gain a very good hands- on experience of implementing a different variety of neural networks. -programming assignments -Positive -Could make the $T$ a little more challenging, I hope that will be the case for future courses, Or maybe an optional exercise option that will throw challenges at us and really test how much we really know -porgramming exercises -Neutral -When I started to learn deep neural networks, backward propagation is nightmare for me but from this $T$ I found backward propagation quite simple and easy. Great Thanks to awesome instructor, Andrew Ng and All his team -course -Positive -When I started to learn deep neural networks, backward propagation is nightmare for me but from this course I found backward propagation quite simple and easy. Great Thanks to awesome $T$, Andrew Ng and All his team -instructor -Positive -It' s an amazing $T$. The pace is just right if you' re a beginner and" busy" with life. Everything is clearly explained. The coding assignments have just the right amount of hints to get you going without being too easy. -course -Positive -It' s an amazing course. The $T$ is just right if you' re a beginner and" busy" with life. Everything is clearly explained. The coding assignments have just the right amount of hints to get you going without being too easy. -pace -Positive -It' s an amazing course. The pace is just right if you' re a beginner and" busy" with life. Everything is clearly explained. The $T$ have just the right amount of hints to get you going without being too easy. -coding assignments -Positive -Although this $T$ does not have the care and support that Machine Learning provides, due to the relative easiness of the assignments, people can some how move along in reasonably comfort. Thanks to all behind the scene. -course -Neutral -Really amazing $T$! Prof. Andrew starts from the very basics. In each video, he starts by summarizing the concepts learnt from previous video and then goes deeper into the topic. Very good course for absolute beginners. -course -Positive -Really amazing course! $T$. Andrew starts from the very basics. In each video, he starts by summarizing the concepts learnt from previous video and then goes deeper into the topic. Very good course for absolute beginners. -Prof -Positive -Really amazing course! Prof. Andrew starts from the very basics. In each video, he starts by summarizing the concepts learnt from previous video and then goes deeper into the topic. Very good $T$ for absolute beginners. -course -Positive -I' m so glad I took this $T$. I' m moving forward with a sound understanding and great reference materials that will be invaluable in becoming an AI engineer. Thank you to Professor Andrew Ng and the deeplearning. ai team! -course -Positive -I' m so glad I took this course. I' m moving forward with a sound understanding and great reference $T$ that will be invaluable in becoming an AI engineer. Thank you to Professor Andrew Ng and the deeplearning. ai team! -materials -Positive -I' m so glad I took this course. I' m moving forward with a sound understanding and great reference materials that will be invaluable in becoming an AI engineer. Thank you to $T$ Andrew Ng and the deeplearning. ai team! -Professor -Positive -Once in a lifetime opportunity to learn DL from $T$ Ng. So far content is very well structured, easy to follow video lessons and love the quizzes. The masterclass with Geoffrey Hinton... priceless!!! Cant wait for more!! -Andrew -Positive -Once in a lifetime opportunity to learn DL from Andrew Ng. So far $T$ is very well structured, easy to follow video lessons and love the quizzes. The masterclass with Geoffrey Hinton... priceless!!! Cant wait for more!! -content -Positive -Once in a lifetime opportunity to learn DL from Andrew Ng. So far content is very well structured, easy to follow $T$ and love the quizzes. The masterclass with Geoffrey Hinton... priceless!!! Cant wait for more!! -video lessons -Positive -Once in a lifetime opportunity to learn DL from Andrew Ng. So far content is very well structured, easy to follow video lessons and love the $T$. The masterclass with Geoffrey Hinton... priceless!!! Cant wait for more!! -quizzes -Positive -I have been teaching at tertiary level for more than 20 years. I assert that the $T$ and Andrew' s teaching method are very fascinating and captivating. Thank you so much for offering such an excellent course! -course materials -Positive -I have been teaching at tertiary level for more than 20 years. I assert that the course materials and $T$' s teaching method are very fascinating and captivating. Thank you so much for offering such an excellent course! -Andrew -Positive -I have been teaching at tertiary level for more than 20 years. I assert that the course materials and Andrew' s teaching method are very fascinating and captivating. Thank you so much for offering such an excellent $T$! -course -Positive -This was an amazing $T$ and I would suggest this course to all who are interested in Artificial Intelligence and particularly neural networks. Thanks to instructor Andrew and Deep Learning. ai for this wonderful course. -course -Positive -This was an amazing course and I would suggest this course to all who are interested in Artificial Intelligence and particularly neural networks. Thanks to $T$ Andrew and Deep Learning. ai for this wonderful course. -instructor -Positive -Awesome $T$, this was my first online course in Deep Learning. Many thanks to Andrew Ng for his great efforts to make it very simple. Thanks to the COURSERA team for providing such a wonderful environment for learning. -Course -Positive -Awesome Course, this was my first online course in Deep Learning. Many thanks to $T$ Ng for his great efforts to make it very simple. Thanks to the COURSERA team for providing such a wonderful environment for learning. -Andrew -Positive -Awesome Course, this was my first online course in Deep Learning. Many thanks to Andrew Ng for his great efforts to make it very simple. Thanks to the $T$ team for providing such a wonderful environment for learning. -COURSERA -Positive -Apart from any other course, The $T$ worked really hard to meet the user requirement and understand the problem user faced and accordingly teaches the syllabus. He went in dept in every section and explain bit by bit. -trainer -Positive -Really very awesome $T$ and assignment is really helpful. They creating assignment likes, you will not forget concepts. They designed assignments as they teach in video with clear concepts. Thanks for wonderful course. -course -Positive -Really very awesome course and $T$ is really helpful. They creating assignment likes, you will not forget concepts. They designed assignments as they teach in video with clear concepts. Thanks for wonderful course. -assignment -Positive -Really very awesome course and assignment is really helpful. They creating assignment likes, you will not forget concepts. They designed assignments as they teach in video with clear $T$. Thanks for wonderful course. -concepts -Positive -Although shorter, I felt this $T$ was a lot more practical than the neural network segment of the Machine Learning course, and concepts better than explained. I feel like I have a stronger intuition of neural networks. -course -Positive -Although shorter, I felt this course was a lot more practical than the neural network segment of the Machine Learning course, and $T$ better than explained. I feel like I have a stronger intuition of neural networks. -concepts -Positive -Highly recommend this $T$ to any one looking for an intuitive introduction to deep learning. All concepts were explained very clearly. The only downside of the course I believe was that it lacks in mathematical rigor. -course -Positive -Highly recommend this course to any one looking for an intuitive introduction to deep learning. All $T$ were explained very clearly. The only downside of the course I believe was that it lacks in mathematical rigor. -concepts -Positive -Very good introduction to Deep Learning, the $T$ was good and manageable for someone without any background in Machine Learning, the lectures were interesting and the assignments definitely help solidifying the concepts. -pace -Positive -Very good introduction to Deep Learning, the pace was good and manageable for someone without any background in Machine Learning, the $T$ were interesting and the assignments definitely help solidifying the concepts. -lectures -Positive -Very good introduction to Deep Learning, the pace was good and manageable for someone without any background in Machine Learning, the lectures were interesting and the $T$ definitely help solidifying the concepts. -assignments -Positive -I liked how the $T$ builds up iteratively. Starting with logistic regression and then defining a neural network as a composition of LR units was just awesome. Another great part was the consistent notations being used. -course -Positive -Excellent $T$ and course materials. Andrew Sir explained each concept beautifully( no other word coming to my mind). Totally worth it. I now have confidence that I can learn deep learning. Looking forward to next course -course -Positive -Excellent course and course $T$. Andrew Sir explained each concept beautifully( no other word coming to my mind). Totally worth it. I now have confidence that I can learn deep learning. Looking forward to next course -materials -Positive -Excellent course and course materials. Andrew $T$ explained each concept beautifully( no other word coming to my mind). Totally worth it. I now have confidence that I can learn deep learning. Looking forward to next course -Sir -Positive -This is a great $T$, I' ve learned a lot about deep learning like: forward propagation, backward propagation, neural network, deep neural network, and so on. I' m very exciting to attend more classes about deep learning. -course -Positive -$T$, pace and clarity are just perfect. Only the last assignment was quite confusing due to varying indexations( list vs parameters dictionary) and varying return value A instead ofprev_A is I recall correctly. -Explanations -Positive -Explanations, $T$ and clarity are just perfect. Only the last assignment was quite confusing due to varying indexations( list vs parameters dictionary) and varying return value A instead ofprev_A is I recall correctly. -pace -Positive -Explanations, pace and clarity are just perfect. Only the last $T$ was quite confusing due to varying indexations( list vs parameters dictionary) and varying return value A instead ofprev_A is I recall correctly. -assignment -Negative -Such an excellent $T$ to learn Deep Learning. Andrew Ng is an incredible teacher, making this" complicated" domain looks very easy. I am looking forward to pass the other courses. Thank you very much for all the work! -course -Positive -Such an excellent course to learn Deep Learning. $T$ Ng is an incredible teacher, making this" complicated" domain looks very easy. I am looking forward to pass the other courses. Thank you very much for all the work! -Andrew -Positive -In total- a great way to get into the field, though I have started Andrew' s ML course in parallel and it gave a better background. During the course I thought there was place for more" optional" mathematical $T$. -background -Neutral -The $T$ is perfectly designed to provide practical knowledge of programming and applying the concepts and also makes it easier to understand the basics and fundamentals of the computation happening behind the program. -course -Positive -The course is perfectly designed to provide practical knowledge of $T$ and applying the concepts and also makes it easier to understand the basics and fundamentals of the computation happening behind the program. -programming -Positive -If you are looking for a starting point to begin your journey of deep learning I will strongly recommend this $T$. Although it is mostly theoretical but programming exercise give you a chance to try your coding skills -course -Positive -If you are looking for a starting point to begin your journey of deep learning I will strongly recommend this course. Although it is mostly theoretical but $T$ give you a chance to try your coding skills -programming exercise -Positive -The $T$ is very well documented, but the only thing which needs time is the back propagation derivative formula understandings. Overall this is way better and one of the best deep learning courses I have even taken. -Course -Positive -This $T$ is excellent, clear explications and practical exercises. Assignments are really guided step by step, so maybe it would be nice to have a final exercise where you have to think more about the implementation -course -Positive -This course is excellent, clear explications and $T$. Assignments are really guided step by step, so maybe it would be nice to have a final exercise where you have to think more about the implementation -practical exercises -Positive -This course is excellent, clear explications and practical exercises. $T$ are really guided step by step, so maybe it would be nice to have a final exercise where you have to think more about the implementation -Assignments -Neutral -This is an introductory and instructive $T$, it' s helped me review the basis of neural networks. Besides, the interviews with some pioneers in deep learning are really inspiring, and that adds to fun of this course. -course -Positive -Thanks a lot for the $T$. It is very progressive, the short videos make it really easier for the learner to remember. Mathematical features are clearly detailled and recalled to keep it in mind between each session. -course -Positive -Thanks a lot for the course. It is very progressive, the short $T$ make it really easier for the learner to remember. Mathematical features are clearly detailled and recalled to keep it in mind between each session. -videos -Positive -The $T$ was really interesting. Helped a lot to deeply understand about neural network and its working. The programming assignments really improved the confidence to work on neural networks and implement it correctly -course -Positive -The course was really interesting. Helped a lot to deeply understand about neural network and its working. The $T$ really improved the confidence to work on neural networks and implement it correctly -programming assignments -Positive -Sometimes $T$ vague and instructions unclear. Also rating broken, tried to give lower rating but glitched and wouldn' t let me, only would let me give higher rating. I would actually rate this program three stars. -lecture -Negative -Sometimes lecture vague and $T$ unclear. Also rating broken, tried to give lower rating but glitched and wouldn' t let me, only would let me give higher rating. I would actually rate this program three stars. -instructions -Negative -Excellent $T$! I just would recommend doing the Machine Learning course before starting this specialization. Although is it a bit old( from 2011) it explains all Neural Network concepts much more slowly and didatic. -course -Positive -Excellent course! I just would recommend doing the Machine Learning course before starting this specialization. Although is it a bit old( from 2011) it explains all Neural Network $T$ much more slowly and didatic. -concepts -Positive -This $T$ is great and covers the fundamentals of neural networks, e. g. how to implement a neural network from scratch without any libraries, so it doesn' t really give you an overview of the deep learning ecosystem. -course -Positive -I love $T$' s class and how his brings students from ground zero to top in understanding the basics and use. Assignments are well details and self explanatory. Thanks for creating this course and your contributions -Andrew -Positive -I love Andrew' s class and how his brings students from ground zero to top in understanding the basics and use. $T$ are well details and self explanatory. Thanks for creating this course and your contributions -Assignments -Positive -An In- depth $T$ to learn the concepts regarding Neural Networks, how to use them, how to build them and Assignments played a crucial role in implementing the concepts that I have understood in the course lectures. -course -Positive -An In- depth course to learn the concepts regarding Neural Networks, how to use them, how to build them and $T$ played a crucial role in implementing the concepts that I have understood in the course lectures. -Assignments -Positive -Great $T$. However, submitting assignments has problems that need to be fixed. I had to submit the same assignment multiple times till the grader finally graded the part of the assignment it wasn' t grading earlier. -course -Positive -Great course. However, submitting $T$ has problems that need to be fixed. I had to submit the same assignment multiple times till the grader finally graded the part of the assignment it wasn' t grading earlier. -assignments -Neutral -great $T$, i love the maths. Andrew Ng explanations are really good. I think i now have a better understanding of the building blocks for Neural Networks, how to vectorized and compute the dimensions of my matrix. -course -Positive -great course, i love the maths. $T$ Ng explanations are really good. I think i now have a better understanding of the building blocks for Neural Networks, how to vectorized and compute the dimensions of my matrix. -Andrew -Positive -It is an excellent $T$. I used to be afraid that deep learning may be a hard course. Andrew changed my view to this field. Those lectures are easy to understand and assignment well designed. I really appreciate it. -course -Positive -It is an excellent course. I used to be afraid that deep learning may be a hard course. $T$ changed my view to this field. Those lectures are easy to understand and assignment well designed. I really appreciate it. -Andrew -Positive -It is an excellent course. I used to be afraid that deep learning may be a hard course. Andrew changed my view to this field. Those $T$ are easy to understand and assignment well designed. I really appreciate it. -lectures -Positive -It is an excellent course. I used to be afraid that deep learning may be a hard course. Andrew changed my view to this field. Those lectures are easy to understand and $T$ well designed. I really appreciate it. -assignment -Positive -Great $T$. It would be great if you could provide all video slides as PPT and PDFs. All videos should have the slides, not only select few. Slides should be downloadable all in one instead as a link under each video -course -Positive -Great course. It would be great if you could provide all video slides as PPT and PDFs. All $T$ should have the slides, not only select few. Slides should be downloadable all in one instead as a link under each video -videos -Negative -Best experience ever, the way $T$ are covered one can easily understand them and after each lesson you can review your performance. Understand how neural network works, looking forward to learn more in this course. -topics -Positive -A very good and well structured $T$ for getting an overview about neural networks. However, for a deeper and better understanding of the material, you will need dive into some professional books on neural networks. -course -Positive -This $T$ is a good to understand fundamentals of deep- learning. Unhurried, yet practical, it incrementally builds building bloks, structures thinking about deep- learning projects, and stays relevant all this while. -course -Positive -Neural networks field has evolved enormously in 20 years. And not least with respect how it' s taught. Learning $T$ replay ideas from different angles and this greatly boosts gaining understanding of the subject. -materials -Positive -Neural networks field has evolved enormously in 20 years. And not least with respect how it' s taught. Learning materials replay ideas from different angles and this greatly boosts gaining $T$ of the subject. -understanding -Positive -Great introduction to Neural Networks and Deep Learning. Highly recommend for all those interested in the subject matter. $T$ in particular give good exposure to practical aspects of deep learning. -Programming assignments -Positive -It' s cool. And it' s really good to walk through the implementation. And also, this $T$ helps me to understand why we are doing the vectorization and some of the optimizations. Also, using Jupyter Notebook is awesome! -course -Positive -Very good introduction to the subject. Even if you have no idea about the subject and have little knowledge of math, you can follow up the $T$ and quizzes and exercises and understand the tools used in packages. -lectures -Positive -Very good introduction to the subject. Even if you have no idea about the subject and have little knowledge of math, you can follow up the lectures and $T$ and exercises and understand the tools used in packages. -quizzes -Positive -Very good introduction to the subject. Even if you have no idea about the subject and have little knowledge of math, you can follow up the lectures and quizzes and $T$ and understand the tools used in packages. -exercises -Positive -Very well organized $T$. The programing assignments were well structured to aid in the understanding for beginners. Since Back propagation is tricky to understand some more time and video could have been devoted. -content -Positive -Just loved the $T$ the way Andrew Ng was explaining and the assignments are a gem for the learning and the discussion form was helpful for me during my doubts and any suggestions that i requiredthank you Coursera -course -Positive -Just loved the course the way $T$ Ng was explaining and the assignments are a gem for the learning and the discussion form was helpful for me during my doubts and any suggestions that i requiredthank you Coursera -Andrew -Positive -Just loved the course the way Andrew Ng was explaining and the $T$ are a gem for the learning and the discussion form was helpful for me during my doubts and any suggestions that i requiredthank you Coursera -assignments -Positive -Just loved the course the way Andrew Ng was explaining and the assignments are a gem for the learning and the discussion form was helpful for me during my doubts and any suggestions that i requiredthank you $T$ -Coursera -Positive -I' ve gone through more than one Deep Learning course over the last months, and this is honestly the best series of $T$ available online. They go into more depth, explaining loads of nuances that others just skip. -courses -Positive -IF you want to learn the basics, and you' re not having a strong background in maths. I strongly recommend this course. Neat $T$ and assignment will be pretty neat as well. Good enough to plant a proper idea. -explanations -Positive -IF you want to learn the basics, and you' re not having a strong background in maths. I strongly recommend this course. Neat explanations and $T$ will be pretty neat as well. Good enough to plant a proper idea. -assignment -Positive -This is easily the most efficient and dependable way to learn deep learningThe $T$ is crafted and instructed in a way which helped me to know the correct use of the tools and made me understand where to apply them -course -Positive -This is easily the most efficient and dependable way to learn deep learningThe course is crafted and instructed in a way which helped me to know the correct use of the $T$ and made me understand where to apply them -tools -Positive -Extremely good for people who want to get on well with deep learning. This $T$ have changed my thoughts about AI and Neural Networks. This course contains the content you need for implementing Deep Neural Network. -course -Positive -Extremely good for people who want to get on well with deep learning. This course have changed my thoughts about AI and Neural Networks. This course contains the $T$ you need for implementing Deep Neural Network. -content -Positive -The $T$ helps us to understand the basic building blocks of Neural Networks. Andrew' s classes are extraordinary. The training exercises and quizzes are challenging. Thanks Andrew for the wonderful course material. -course -Positive -The course helps us to understand the basic building blocks of Neural Networks. $T$' s classes are extraordinary. The training exercises and quizzes are challenging. Thanks Andrew for the wonderful course material. -Andrew -Positive -The course helps us to understand the basic building blocks of Neural Networks. Andrew' s classes are extraordinary. The training $T$ and quizzes are challenging. Thanks Andrew for the wonderful course material. -exercises -Positive -The course helps us to understand the basic building blocks of Neural Networks. Andrew' s classes are extraordinary. The training exercises and $T$ are challenging. Thanks Andrew for the wonderful course material. -quizzes -Positive -The course helps us to understand the basic building blocks of Neural Networks. Andrew' s classes are extraordinary. The training exercises and quizzes are challenging. Thanks Andrew for the wonderful course $T$. -material -Positive -One of the best online $T$ i ever learned from, just the right amount of maths, theory and codecoding assignments are fun they let u explore and be creative to try out new things being very instructive at same time -cources -Positive -One of the best online cources i ever learned from, just the right amount of maths, theory and codecoding $T$ are fun they let u explore and be creative to try out new things being very instructive at same time -assignments -Positive -Excellent place to start your journey to learn about Neural Networks. Great $T$, excellent course content and layout and reasonably well structured programming assignments. Was a pleasure learning this course! -instructor -Positive -Excellent place to start your journey to learn about Neural Networks. Great instructor, excellent course $T$ and layout and reasonably well structured programming assignments. Was a pleasure learning this course! -content -Positive -Excellent place to start your journey to learn about Neural Networks. Great instructor, excellent course content and layout and reasonably well structured $T$. Was a pleasure learning this course! -programming assignments -Positive -For me this $T$ was a review of an already known subject. The material is easy to access and very well explained. I' d recommend it to anybody wanting to learn about deep learning or strengthen their understanding. -course -Neutral -Excellent $T$. It has improved my understanding of Deep Learning by great factor. The good aspect of this course is the right balance of theoretical explanation and practical application. Very well designed course. -course -Positive -Excellent course. It has improved my understanding of Deep Learning by great factor. The good aspect of this course is the right balance of theoretical explanation and practical application. Very well $T$ course. -designed -Positive -Incredibly good $T$. Very well designed with neat examples to practice. Does a great job in laying down a good understanding of neural networks and deep learning. Don' t miss out the section heros of deep learning! -course -Positive -Incredibly good course. Very well $T$ with neat examples to practice. Does a great job in laying down a good understanding of neural networks and deep learning. Don' t miss out the section heros of deep learning! -designed -Positive -Incredibly good course. Very well designed with neat $T$ to practice. Does a great job in laying down a good understanding of neural networks and deep learning. Don' t miss out the section heros of deep learning! -examples -Positive -Fantastic $T$ at a very fundamental level. Andrew is a humble but very experienced practitioner who describes at a very accessible level. Only tip is to make sure you save frequently in the assignment notebooks... -course -Positive -Fantastic course at a very fundamental level. $T$ is a humble but very experienced practitioner who describes at a very accessible level. Only tip is to make sure you save frequently in the assignment notebooks... -Andrew -Positive -This is a very valuable $T$ with clear and detailed explanation from Andrew Ng and informative course materials. I highly recommend this course for anyone who is interested in going into AI image recognition space -course -Positive -This is a very valuable course with clear and detailed explanation from $T$ Ng and informative course materials. I highly recommend this course for anyone who is interested in going into AI image recognition space -Andrew -Positive -What can I say? Just wow! I always thought that making a Neural Network is something beyond my capability. With the $T$ laid out by Andrew Ng, I finally got an intuition into how Neural Networks really work. -fundamentals -Positive -What can I say? Just wow! I always thought that making a Neural Network is something beyond my capability. With the fundamentals laid out by $T$ Ng, I finally got an intuition into how Neural Networks really work. -Andrew -Positive -This $T$ will teach you all the necessary maths behind how a neural network and logistic regression work. The only thing that could have made this course better was if the coding assignments were a little harder. -course -Positive -This course will teach you all the necessary maths behind how a neural network and logistic regression work. The only thing that could have made this course better was if the $T$ were a little harder. -coding assignments -Negative -What a roller coaster of an introduction. Enjoyed every bit of it, including the $T$, which frankly I have no idea how I completed. Glad to see models coded by me actually run. Thanks Andrew and team. -coding assignments -Positive -What a roller coaster of an introduction. Enjoyed every bit of it, including the coding assignments, which frankly I have no idea how I completed. Glad to see models coded by me actually run. Thanks $T$ and team. -Andrew -Positive -It was my first time to learn" Deep Learning". I could gradually understand the principles of neural networks from" Shallow" to" Deep". Additionally, the $T$ were very helpful for understanding the theories. -assignments -Positive -I love the $T$, I was wishing to build a Neural Network from scratch just using numpy and no other libraries such as tensorflow, scikit- learn or pytorch. This makes me understand better how neural networks works. -course -Positive -Great $T$! Very detailed explanations with the lectures and programming assignments. Best part: I learned to build logistic regression and deep neural networks without using special high level library packages. -course -Positive -Great course! Very detailed explanations with the $T$ and programming assignments. Best part: I learned to build logistic regression and deep neural networks without using special high level library packages. -lectures -Positive -Great course! Very detailed explanations with the lectures and $T$. Best part: I learned to build logistic regression and deep neural networks without using special high level library packages. -programming assignments -Positive -Excellent $T$. Though am intermediate beginner it was wonderful that I took this course. Thank you am so happy that I learnt many NN concepts neatly and assignments were an added advantage. It ?? s a quality course! -course -Positive -Excellent course. Though am intermediate beginner it was wonderful that I took this course. Thank you am so happy that I learnt many NN concepts neatly and $T$ were an added advantage. It ?? s a quality course! -assignments -Positive -The course is laid out in a coherent manner with great $T$ and excellent exercises that walks you through the necessary steps to learn the basics of a neural network. Professor Andrew' s classes were outstanding! -classes -Positive -The course is laid out in a coherent manner with great classes and excellent $T$ that walks you through the necessary steps to learn the basics of a neural network. Professor Andrew' s classes were outstanding! -exercises -Positive -The course is laid out in a coherent manner with great classes and excellent exercises that walks you through the necessary steps to learn the basics of a neural network. $T$ Andrew' s classes were outstanding! -Professor -Positive -It deals with the basics of deep learning quite well. Though I previously had experience with machine learning, this $T$ have made a lot of the aspects much clearer building a better intuition for neural networks -course -Positive -A highly recommend $T$ I would say. Helped me have a deep understanding of the theoretical knowledge and programming which helped keep my basis clear. Assignments especially were very helpful for me as practice. -course -Positive -A highly recommend course I would say. Helped me have a deep understanding of the theoretical $T$ and programming which helped keep my basis clear. Assignments especially were very helpful for me as practice. -knowledge -Positive -A highly recommend course I would say. Helped me have a deep understanding of the theoretical knowledge and $T$ which helped keep my basis clear. Assignments especially were very helpful for me as practice. -programming -Positive -A highly recommend course I would say. Helped me have a deep understanding of the theoretical knowledge and programming which helped keep my basis clear. $T$ especially were very helpful for me as practice. -Assignments -Positive -The best ever Deep Learning specialization $T$ that you would ever find. Andrew Ng is brilliant and learning this course becomes way simpler with the assignments. The optional interviews were highly informative. -course -Positive -The best ever Deep Learning specialization course that you would ever find. $T$ Ng is brilliant and learning this course becomes way simpler with the assignments. The optional interviews were highly informative. -Andrew -Positive -The best ever Deep Learning specialization course that you would ever find. Andrew Ng is brilliant and learning this course becomes way simpler with the $T$. The optional interviews were highly informative. -assignments -Positive -Very detailed $T$. Helped me understand the fundamentals of the neural networks, especially the backpropagation very clearly. And implementing the model without the frameworks was very useful. Thanks to the team. -course -Positive -Very detailed course. Helped me understand the fundamentals of the neural networks, especially the backpropagation very clearly. And implementing the model without the frameworks was very useful. Thanks to the $T$. -team -Positive -Best $T$ to get started with NN and Deep Learning. Good coding assignments for intution of flow of numbers in our network. All the basics needed to build a NN covered properly. Extra guess talks were insightfull. -course -Positive -Best course to get started with NN and Deep Learning. Good $T$ for intution of flow of numbers in our network. All the basics needed to build a NN covered properly. Extra guess talks were insightfull. -coding assignments -Positive -This is an amazing $T$ which gives a lot of crucial intuition towards the application of neural networks and how to make it more accurate. The maths behind each step is clearly explained. Great experience so far. -course -Positive -This is an amazing course which gives a lot of crucial intuition towards the application of neural networks and how to make it more accurate. The maths behind each step is clearly $T$. Great experience so far. -explained -Positive -It is a well scheduled $T$ suitable for beginners who interested in deep learning. After finishing this course, I consolidate my understanding wrt machine learning and gain insights into deep learning. Thank you! -course -Positive -This $T$ is so great! Andrew Ng is the best teacher I' ve ever met. I am very surpriesd that learning deep learning can be so easy in this way. Recomand everyone intersting in deep learning must takes this course! -course -Positive -This course is so great! Andrew Ng is the best $T$ I' ve ever met. I am very surpriesd that learning deep learning can be so easy in this way. Recomand everyone intersting in deep learning must takes this course! -teacher -Positive -Very interesting $T$ that has clearly shown that you don' t need a math- heavy education in order to understand how deep learning works. I was surprised to see how the concept of backprop could be easily explained. -course -Positive -Very interesting course that has clearly shown that you don' t need a math- heavy education in order to understand how deep learning works. I was surprised to see how the $T$ of backprop could be easily explained. -concept -Positive -It is a great entry level $T$ for those who first come to AI area even without much math background. However, I think it would be better if instructor can provide optional more detailed math behind the algorithm. -course -Positive -It is a great entry level course for those who first come to AI area even without much math background. However, I think it would be better if $T$ can provide optional more detailed math behind the algorithm. -instructor -Neutral -Previously I thought deep learning is very complex and hard to understand but $T$ did a great job simplifying the material and I really enjoyed his videos! looking forward on completing the entire specialization! -Andrew -Positive -Previously I thought deep learning is very complex and hard to understand but Andrew did a great job simplifying the material and I really enjoyed his $T$! looking forward on completing the entire specialization! -videos -Positive -Excellent $T$ with a great mix of neural network theory and hands on exercises. I highly recommend this course for learners that would like a deeper understanding of how neural networks operate' under the hood'. -course -Positive -Excellent course with a great mix of neural network theory and hands on $T$. I highly recommend this course for learners that would like a deeper understanding of how neural networks operate' under the hood'. -exercises -Positive -A Delightful, Simple and Fascinating $T$ which is topped with the incredible spread of Andrew Ng' s sheer Passion. This is a Super Star of Courses that makes you cruise along the Marvels of Deep Learning journey. -course -Positive -A Delightful, Simple and Fascinating course which is topped with the incredible spread of $T$ Ng' s sheer Passion. This is a Super Star of Courses that makes you cruise along the Marvels of Deep Learning journey. -Andrew -Positive -Fantastic $T$ that will impart a solid practical understanding of NN. My only( minor) nitpick is that it could use lecture notes or written supplements to help students absorb some of the heavier math derivations -course -Positive -Fantastic course that will impart a solid practical understanding of NN. My only( minor) nitpick is that it could use lecture $T$ or written supplements to help students absorb some of the heavier math derivations -notes -Neutral -Fantastic course that will impart a solid practical understanding of NN. My only( minor) nitpick is that it could use lecture notes or written $T$ to help students absorb some of the heavier math derivations -supplements -Neutral -This specialization is long overdue from Andrew Ng. I don' t know long I would have taken to understand NN properly if Andrew Ng hadn' t started this specialization. Absolutely brilliant teaching from a great $T$. -teacher -Positive -Thank you Andrew NG for making an awesome $T$ on Deep learning, its very important to learn concepts of machine learning by understanding the algorithm behind it and more importantly not to use as black box tool. -course -Positive -Thank you Andrew NG for making an awesome course on Deep learning, its very important to learn $T$ of machine learning by understanding the algorithm behind it and more importantly not to use as black box tool. -concepts -Positive -Yet another exceptional $T$, rather a whole specialization by Andrew Ng. He is an exceptional teacher with humble manners. I have learned a lot from his Machine learning course and now doing this specialization. -course -Positive -Yet another exceptional course, rather a whole specialization by Andrew Ng. He is an exceptional $T$ with humble manners. I have learned a lot from his Machine learning course and now doing this specialization. -teacher -Positive -Amazing $T$ and the Assignments will practically fill all the gaps which you encounter. Make sure you take down notes and visit lectures again if not. worth the effort. Thanks Andrew Ng for such an amazing course. -course -Positive -Amazing course and the $T$ will practically fill all the gaps which you encounter. Make sure you take down notes and visit lectures again if not. worth the effort. Thanks Andrew Ng for such an amazing course. -Assignments -Positive -Amazing course and the Assignments will practically fill all the gaps which you encounter. Make sure you take down notes and visit lectures again if not. worth the effort. Thanks $T$ Ng for such an amazing course. -Andrew -Positive -A really good $T$ on neural networks and deep learning for beginners especially. Good explanation of concepts, the graded quizzes and assignments really facilitate towards a better understanding of the concepts. -course -Positive -A really good course on neural networks and deep learning for beginners especially. Good explanation of $T$, the graded quizzes and assignments really facilitate towards a better understanding of the concepts. -concepts -Positive -A really good course on neural networks and deep learning for beginners especially. Good explanation of concepts, the graded $T$ and assignments really facilitate towards a better understanding of the concepts. -quizzes -Positive -A really good course on neural networks and deep learning for beginners especially. Good explanation of concepts, the graded quizzes and $T$ really facilitate towards a better understanding of the concepts. -assignments -Positive -An excellent $T$. However some threads in the discussion forum remain unanswered. I urge the mentors to address each unique thread to the best of their ability without considering the quality of the question asked -course -Positive -An excellent course. However some threads in the discussion $T$ remain unanswered. I urge the mentors to address each unique thread to the best of their ability without considering the quality of the question asked -forum -Neutral -This was an amazing experience with Andrew Ng $T$. I got an overview of the concepts in deep learning such as linear regression, logistic regression, vectorization, Overfitting, and underfitting of the module, etc. -Sir -Positive -This was an amazing experience with Andrew Ng Sir. I got an overview of the $T$ in deep learning such as linear regression, logistic regression, vectorization, Overfitting, and underfitting of the module, etc. -concepts -Positive -This $T$ was the most interesting course to me to start deep learning. Fundamentals taught in this course are so much helpful to understand the basics of DL. Thank you so much for having this course at Coursera. -course -Positive -This course was the most interesting course to me to start deep learning. Fundamentals taught in this course are so much helpful to understand the basics of DL. Thank you so much for having this course at $T$. -Coursera -Positive -$T$ is great! He explains everything in the necessary details. I' ve watched all the optional videos too and found them really interesting. If anyone wants to get started in Deep Learning this course it' s perfect -Andrew -Positive -Andrew is great! He explains everything in the necessary details. I' ve watched all the optional videos too and found them really interesting. If anyone wants to get started in Deep Learning this $T$ it' s perfect -course -Positive -Andrew NG' s $T$ course never disappoints. He provides a very pragmatic approach towards his teaching- concentrating right from the fundamentals to implementation in the lab sessions. Thank You& Expecting more!! -sirs -Positive -Andrew NG' s sirs course never disappoints. He provides a very pragmatic approach towards his teaching- concentrating right from the fundamentals to implementation in the $T$. Thank You& Expecting more!! -lab sessions -Positive -This $T$ helped me understand the foundation of neural networks and relevant programming exercises helped in understanding the concepts. I am glad I opted for this course and thank you for compiling this course. -course -Positive -This course helped me understand the foundation of neural networks and relevant $T$ helped in understanding the concepts. I am glad I opted for this course and thank you for compiling this course. -programming exercises -Positive -Having taken courses in different subjects from many providers, I can confidently say that this $T$ is amazing. Some exceptionally great and clear teaching allows one to understand the concept on a deeper level. -course -Positive -Having taken courses in different subjects from many providers, I can confidently say that this course is amazing. Some exceptionally great and clear $T$ allows one to understand the concept on a deeper level. -teaching -Positive -Andrew Ng is a great $T$! He starts by giving intuition about complex aspects of deep learning and builds on top of that. The math STEM students/ graduates is pretty straightforward! I highly recommand it -instructor -Positive -It was an excellent $T$ that is extremely insightful for even people like us who do not have a good academic background of Neural Networks/ Artificial Intelligence but are otherwise enthusiastic about this field. -course -Positive -Exceptional $T$. Course material is very lucid and structured for people who do not have a strong Mathematics/ Stats/ Software background. Great sources for building fundamentals. And as usual, Andrew Ng rocks! -teaching -Positive -Exceptional teaching. Course $T$ is very lucid and structured for people who do not have a strong Mathematics/ Stats/ Software background. Great sources for building fundamentals. And as usual, Andrew Ng rocks! -material -Positive -Excellent $T$ and material. Thank you Prof Ng. Suggestion: Probably one programming assignment could have been made more rigorous. Especially the last one. By rigorous, I meant" code a major chunk on our own". -course -Positive -Excellent course and $T$. Thank you Prof Ng. Suggestion: Probably one programming assignment could have been made more rigorous. Especially the last one. By rigorous, I meant" code a major chunk on our own". -material -Positive -Excellent course and material. Thank you $T$ Ng. Suggestion: Probably one programming assignment could have been made more rigorous. Especially the last one. By rigorous, I meant" code a major chunk on our own". -Prof -Positive -Excellent course and material. Thank you Prof Ng. Suggestion: Probably one $T$ could have been made more rigorous. Especially the last one. By rigorous, I meant" code a major chunk on our own". -programming assignment -Neutral -Excellent $T$. Concepts are explained in detail with clear intuitions and purpose. Taking the Machine Learning course( by the same professor) before taking this course made everything extremely easier to follow. -course -Positive -Excellent course. $T$ are explained in detail with clear intuitions and purpose. Taking the Machine Learning course( by the same professor) before taking this course made everything extremely easier to follow. -Concepts -Positive -A must $T$ to understand what neural networks and Deep Learning is about. Well designed& structured course: topics, material, videos, quizzes, programming assignments motivated& encouraged me to learn faster. -course -Positive -A must course to understand what neural networks and Deep Learning is about. Well designed& structured course: topics, $T$, videos, quizzes, programming assignments motivated& encouraged me to learn faster. -material -Positive -A must course to understand what neural networks and Deep Learning is about. Well designed& structured course: topics, material, $T$, quizzes, programming assignments motivated& encouraged me to learn faster. -videos -Positive -A must course to understand what neural networks and Deep Learning is about. Well designed& structured course: topics, material, videos, $T$, programming assignments motivated& encouraged me to learn faster. -quizzes -Positive -A must course to understand what neural networks and Deep Learning is about. Well designed& structured course: topics, material, videos, quizzes, $T$ motivated& encouraged me to learn faster. -programming assignments -Positive -Well structured $T$ with sufficient theory and adequate amount of exercises. One of the best course available in the internet to start with Deep Learning along with the hand on experience on image recognization. -course -Positive -Well structured course with sufficient theory and adequate amount of $T$. One of the best course available in the internet to start with Deep Learning along with the hand on experience on image recognization. -exercises -Positive -This $T$ i really helpful for gaining some key insights on deep learning, especially neural networks. The course videos and programming assignments are structured perfectly and provide a good learning experience. -course -Positive -This course i really helpful for gaining some key insights on deep learning, especially neural networks. The course $T$ and programming assignments are structured perfectly and provide a good learning experience. -videos -Positive -This course i really helpful for gaining some key insights on deep learning, especially neural networks. The course videos and $T$ are structured perfectly and provide a good learning experience. -programming assignments -Positive -A must- do $T$ for a beginner in Machine Learning. As a deep learning researcher I found this course brush up my fundamentals and helped reduce my minor coding errors that I usually encounter. Thank you Andrew Ng -course -Positive -Excellent $T$ and world' s best teacher makes it a very tempting and deeply educating, entertaining, enlightening course. Also given the wind is blowing AI way, it is need of hour to know what AI is all about! -material -Positive -Excellent material and world' s best $T$ makes it a very tempting and deeply educating, entertaining, enlightening course. Also given the wind is blowing AI way, it is need of hour to know what AI is all about! -teacher -Positive -I have taken few Deep learning $T$, including from Stanford. This was the best, and the simplest in explanation. It helps you to understand every simple detail. Andrew Ng is great educator, if not the greatest! -courses -Positive -I have taken few Deep learning courses, including from Stanford. This was the best, and the simplest in explanation. It helps you to understand every simple detail. Andrew Ng is great $T$, if not the greatest! -educator -Positive -This is excellent $T$! The right pace, well- picked repetitions of certain aspects that allow to get routine and a good proportion of hands- on with python while not loosing the common theme and the big picture. -teaching -Positive -This is excellent teaching! The right $T$, well- picked repetitions of certain aspects that allow to get routine and a good proportion of hands- on with python while not loosing the common theme and the big picture. -pace -Positive -Andrew makes it easier to understand neural networks and deep learning, and the $T$ helps me master what I have learned in the videos. This is a good course and I will recommend it to my friends. -programming assignment -Positive -Andrew makes it easier to understand neural networks and deep learning, and the programming assignment helps me master what I have learned in the videos. This is a good $T$ and I will recommend it to my friends. -course -Positive -It' s a really good $T$ to further learn neural networks. It' s easier to understand and implement the methods. I also took less effort jumping out the stuck of programming compared to other similar courses. Great -course -Positive -it teaches deep learning and neural network fundamentals in a very efficient and effective way. The methodology of $T$ creates a great environment to learn. Overall a great course for deep learning enthusiasts. -teaching -Positive -it teaches deep learning and neural network fundamentals in a very efficient and effective way. The methodology of teaching creates a great environment to learn. Overall a great $T$ for deep learning enthusiasts. -course -Positive -This $T$ was very beautiful, from the way Andrew explained every concept to the way the questions made you think and understand the logic behind the model you' re building; everything is just awesome. I love it. -course -Positive -This course was very beautiful, from the way $T$ explained every concept to the way the questions made you think and understand the logic behind the model you' re building; everything is just awesome. I love it. -Andrew -Positive -This $T$ launches you into the seemingly daunting world of Deep Learning. But Andrew Ng breaks it down into as basic of mathematics as possible, and gives you the necessary insight and confidence going forward. -course -Neutral -This course launches you into the seemingly daunting world of Deep Learning. But $T$ Ng breaks it down into as basic of mathematics as possible, and gives you the necessary insight and confidence going forward. -Andrew -Positive -Its an amazing $T$! I enjoyed the Calculus computations involved in the backward propagation as I knew calculus from before. Andrew NG explains concepts in simple terms and that makes this course special to me! -course -Positive -Its an amazing course! I enjoyed the Calculus computations involved in the backward propagation as I knew calculus from before. $T$ NG explains concepts in simple terms and that makes this course special to me! -Andrew -Positive -This $T$ was very helpful. The videos were concise and very clear. The instructor was also very precise and made sure that the content i clearly explained. The programming assignments were very well structured. -course -Positive -This course was very helpful. The $T$ were concise and very clear. The instructor was also very precise and made sure that the content i clearly explained. The programming assignments were very well structured. -videos -Positive -This course was very helpful. The videos were concise and very clear. The $T$ was also very precise and made sure that the content i clearly explained. The programming assignments were very well structured. -instructor -Positive -This course was very helpful. The videos were concise and very clear. The instructor was also very precise and made sure that the content i clearly explained. The $T$ were very well structured. -programming assignments -Positive -Extremely helpful if someone wants a career in machine learning specialization. The $T$, Dr Ng is truly awesome at his skills to teach students with zero initial knowledge in the field of AI or mathematics. -instructor -Positive -Great $T$ for learning about neural networks. But good python knowledge is required for doing the assignment. Also, more details on vectorization and method of implementing in python for more cases would help. -course -Positive -Great course for learning about neural networks. But good python knowledge is required for doing the assignment. Also, more $T$ on vectorization and method of implementing in python for more cases would help. -details -Neutral -It was a great experience. The $T$ were simple and captivating. The assignments were designed well and in line with the course which helped understand mathematically challenging concepts like backpropagation. -lectures -Positive -It was a great experience. The lectures were simple and captivating. The $T$ were designed well and in line with the course which helped understand mathematically challenging concepts like backpropagation. -assignments -Positive -Excellent $T$. This course explained the calculations very clearly step by step. Also thanks for the interview Videos with such great people. The Quiz questions were very helpful in checking our understanding. -Course -Positive -Excellent Course. This course explained the calculations very clearly step by step. Also thanks for the interview Videos with such great people. The $T$ questions were very helpful in checking our understanding. -Quiz -Positive -$T$. Andrew N. G. has the uncanny ability to explain some of the most difficult topics in an easy and lucid manner. The quizzes and programing assignments are extremely well designed. Highly recommend this course. -Prof -Positive -Prof. Andrew N. G. has the uncanny ability to explain some of the most difficult topics in an easy and lucid manner. The $T$ and programing assignments are extremely well designed. Highly recommend this course. -quizzes -Positive -Prof. Andrew N. G. has the uncanny ability to explain some of the most difficult topics in an easy and lucid manner. The quizzes and $T$ are extremely well designed. Highly recommend this course. -programing assignments -Positive -Prof. Andrew N. G. has the uncanny ability to explain some of the most difficult topics in an easy and lucid manner. The quizzes and programing assignments are extremely well designed. Highly recommend this $T$. -course -Positive -It was hard in the second week to accept and be familiar at the definition of the words, but after that, my understanding towards deep learning get more faster!! I want to thank $T$ Andrew Ng for hard work!! -professor -Positive -Very well structured, step by step explanations, going deep into the material so you' d understand the purpose of the nn details and specifications. The $T$ is giving the best possible lectures on this topic. -professor -Positive -Very well structured, step by step explanations, going deep into the material so you' d understand the purpose of the nn details and specifications. The professor is giving the best possible $T$ on this topic. -lectures -Positive -Its a $T$ that exposes you the underlying theory of deep learning. You may not need this while using tensorflow etc. however it will give you a greater understanding of how the whole thing works. Its not magic. -course -Positive -This $T$ with very helpful. I' ve been reading a lot of paper and searching for tutorials but I could not get started. This course gave me the needed fundamentals and showed me how to look at the problem. Thanks -course -Positive -A perfect $T$ for those who already have some basic understanding of machine learning. And of course some understanding of linear algebra, probability theory and calculus makes you a great fit for this course. -course -Positive -I think $T$ gave a very structured and detailed introduction. In later courses, he progressively add more information to this big framework. This course is very foundational but useful. I learned a lot from it. -Andrew -Positive -I think Andrew gave a very structured and detailed introduction. In later courses, he progressively add more information to this big framework. This $T$ is very foundational but useful. I learned a lot from it. -course -Positive -$T$ does fantastic job at explaining how NN computation works( forward/ backward pass and gradients). Working things out on paper and then with Python at 1- n layered networks delivers the point very effectively. -Andrew -Positive -Very well set up. The $T$ are set up in a way which will reinforce important computations while giving you an understanding of WHY this computation happens/ works. Very much enjoyed going through this course. -Lectures -Positive -Very well set up. The Lectures are set up in a way which will reinforce important computations while giving you an understanding of WHY this computation happens/ works. Very much enjoyed going through this $T$. -course -Positive -This $T$ gave me a solid practical ideas how to implement a simple neural network in Python. Also, it improved my knowledge of the neural networks at whole, so it' s very useful for the beginners in this field. -course -Positive -Amazing $T$! It was a pleasure learning with you. I would strongly recommend taking this course, as you will get strong knowledge of not only how to use neural networks, but also on the mathematics background. -course -Positive -I would be very happy to get more visual explanation on the matrix for backpropagation and cache relationship. The $T$ covers every aspect very well and the optional content is also very intriguing. Thank you! -course -Positive -The $T$ explained very well, step by step. I loved the course because you understand both theoretical and practical parts. And it' s very good that there are Portuguese legends, I managed to follow the course. -teacher -Positive -The teacher explained very well, step by step. I loved the $T$ because you understand both theoretical and practical parts. And it' s very good that there are Portuguese legends, I managed to follow the course. -course -Positive -Best $T$ to Learn DL. There was not a single thing that I didn' t understand also the assignments were so exciting and also ordered in such a way that everything I did came out to be true. Thanks deeplearning. ai -Course -Positive -Best Course to Learn DL. There was not a single thing that I didn' t understand also the $T$ were so exciting and also ordered in such a way that everything I did came out to be true. Thanks deeplearning. ai -assignments -Positive -The $T$ was perfect taught, yet the assignments wasn' t that handy since the implementation is no near from the production level and also writing just tiny pieces of code does not make you aware of all content. -course -Positive -The course was perfect taught, yet the $T$ wasn' t that handy since the implementation is no near from the production level and also writing just tiny pieces of code does not make you aware of all content. -assignments -Negative -The course was perfect taught, yet the assignments wasn' t that handy since the implementation is no near from the production level and also writing just tiny pieces of $T$ does not make you aware of all content. -code -Negative -A bit more of $T$ on how the elementwise product formula for dZ[ 1] in gradient descent/ backward prop of deep neural network has been derived. Not clear how outputs of a cache are really used in back prop. -explanation -Negative -This $T$ is recommended for the math backed people. or those who have finished the introductions into machine learnings. The mathematical innards have been explain with such simplicity. Its an awesome course!! -course -Positive -This $T$ has really helped me to understand what is deep learning and how it is implemented. Andrew ng, as always, has done a great job in explaining all the concepts involved in solving deep learning problems -course -Positive -This course has really helped me to understand what is deep learning and how it is implemented. $T$ ng, as always, has done a great job in explaining all the concepts involved in solving deep learning problems -Andrew -Positive -Wish the $T$ Q& A were optimized for better searches. I really enjoyed the hands- on approach even though I am not a software developer. I am a technical product manager trying to understand the general approach. -forum -Neutral -I am thankful to the $T$. Andrew Ng and Coursera to provide this online learning platform to the learners like me. I like this course and the way Prof. Andrew Ng explained the Neural Network concept profoundly. -Prof -Positive -I am thankful to the Prof. Andrew Ng and Coursera to provide this online learning platform to the learners like me. I like this $T$ and the way Prof. Andrew Ng explained the Neural Network concept profoundly. -course -Positive -Clears all the basics and very conceptual. So good for those who wanna dive deep into neural networks. The $T$ were awesome, where one builds neural network from scratch. Overall a nice experience. -graded assignments -Positive -This was recommended to me by a colleague, and I was not at all disappointed. Top- notch $T$, I learned a lot and had a fun time working through the programming labs. I will definitely recommend this to others. -course -Positive -This was recommended to me by a colleague, and I was not at all disappointed. Top- notch course, I learned a lot and had a fun time working through the $T$ labs. I will definitely recommend this to others. -programming -Positive -Very good introduction to neural networks. The $T$ takes his time to clearly explain the mathematical background and the coding- including many repetition which are needed for this topic. Highly recommended. -teacher -Positive -Very good introduction to neural networks. The teacher takes his time to clearly explain the mathematical background and the $T$- including many repetition which are needed for this topic. Highly recommended. -coding -Positive -Great $T$, to the point and with enough detail to keep you interested and not discourage. Also, the interviews with Deep Learning professionals keep you motivated and are very interesting. -course -Positive -Great $T$. Concepts like Back Propagation are taught in a very simplified manner. Great exercises give you confidence on how NN functions internally, instead of just using them as a black box. Much recommended -Course -Positive -Great Course. $T$ like Back Propagation are taught in a very simplified manner. Great exercises give you confidence on how NN functions internally, instead of just using them as a black box. Much recommended -Concepts -Positive -I took his $T$ about Machine Learning about 3 years ago It was really helpful to understand ML. This course is much improved not only in the content itself but also the coding exercise. Thank you Prof. Andrew! -course -Positive -I took his course about Machine Learning about 3 years ago It was really helpful to understand ML. This course is much improved not only in the $T$ itself but also the coding exercise. Thank you Prof. Andrew! -content -Positive -I took his course about Machine Learning about 3 years ago It was really helpful to understand ML. This course is much improved not only in the content itself but also the $T$. Thank you Prof. Andrew! -coding exercise -Positive -I took his course about Machine Learning about 3 years ago It was really helpful to understand ML. This course is much improved not only in the content itself but also the coding exercise. Thank you $T$. Andrew! -Prof -Positive -I found the $T$ very useful and informative. I am looking forward to learning the second course! T ?? hank you very much for making all students in the world can touch closely to Deep Learning' s wonderful World!! -course -Positive -That was one of the the most beneficial $T$, I have ever taken. Sir Andrew NG, All students who are enthusiastic Data Science and be unable to reach good education, -course -Positive -That was one of the the most beneficial course, I have ever taken. $T$ Andrew NG, All students who are enthusiastic Data Science and be unable to reach good education, -Sir -Positive -I really like this deep learning $T$ taught by Andrew Ng. The concept of deep neural networks are clearly elaborated in a simple way, and attched assignments are very helpful for understanding those concepts. -course -Positive -I really like this deep learning course taught by $T$ Ng. The concept of deep neural networks are clearly elaborated in a simple way, and attched assignments are very helpful for understanding those concepts. -Andrew -Positive -I really like this deep learning course taught by Andrew Ng. The concept of deep neural networks are clearly elaborated in a simple way, and attched $T$ are very helpful for understanding those concepts. -assignments -Positive -Great $T$!, very specific and detailed; It teaches you from the foundations of deep learning and programming examples that make you think a lot. It handles tools with great potential for various applications. -course -Positive -Great course!, very specific and detailed; It teaches you from the foundations of deep learning and programming examples that make you think a lot. It handles $T$ with great potential for various applications. -tools -Positive -The $T$ are really well designed! Even though I' ve already taken a deep learning class at my university and I' m a teaching assistant of the deep learning course, refreshing this knowledge is always good. -assignments -Positive -everything' s fine! But it will be better if you teach some more $T$ regarding programming in the beginning itself. So it will be easier for the students who are not so good at corresponding programming platform -basics -Negative -I think this is the best $T$ to get a proper understanding of deep learning and neural networks. Everything was explained with clarity so that there wasn' t any doubt. Thank you Andrew Ng and the Coursera Team -course -Positive -I think this is the best course to get a proper understanding of deep learning and neural networks. Everything was explained with clarity so that there wasn' t any doubt. Thank you $T$ Ng and the Coursera Team -Andrew -Positive -I think this is the best course to get a proper understanding of deep learning and neural networks. Everything was explained with clarity so that there wasn' t any doubt. Thank you Andrew Ng and the $T$ Team -Coursera -Positive -Every $T$ from Andrew is great. I really appreciated the new format versus the older version of the course: having several modules instead of a unique course is more manageable especially for professionals... -course -Positive -Every course from $T$ is great. I really appreciated the new format versus the older version of the course: having several modules instead of a unique course is more manageable especially for professionals... -Andrew -Positive -Every course from Andrew is great. I really appreciated the new $T$ versus the older version of the course: having several modules instead of a unique course is more manageable especially for professionals... -format -Positive -This was an excellent $T$. I feel like I have a solid understanding of the basics of neural networks, can can talk intelligently about forward and back propagation, and why we need to compute the gradients. -course -Positive -Andrew is really a good $T$. I learned a lot though the concept was still somehow unclear to me, but it is because deep learning itself is complicated. Andrew has done a great job in going through details. -teacher -Positive -Great $T$ with detailed explanation of how to build neural networks from scratch. A bit easy for a physics PhD, but like it as I can go through all the calculus and linear algebra for a much better insight. -course -Positive -$T$ are very very good, I have much clearer intuition for backprop now. The assignments were a little messy to me as i' m used to static typing and clear structures instead of all these confusing tuples:) -Lectures -Positive -Lectures are very very good, I have much clearer intuition for backprop now. The $T$ were a little messy to me as i' m used to static typing and clear structures instead of all these confusing tuples:) -assignments -Negative -Basic $T$ to the specialization. It was way too simple for me since I already have knowledge in machine learning. -introduction -Neutral -This $T$ is very introductory and very short, so that most of the things presented in the course were familiar to me. -course -Neutral -This course is very introductory and very $T$, so that most of the things presented in the course were familiar to me. -short -Negative -It is not clear enough for a greenhand to understand, especially about $T$ Git on Mac or pushing files to Github. -installing -Negative -I found the $T$ fruitful particularly to a person who knows nothing about Data Science, keep up the good work. -introduction -Positive -The $T$ is very preliminary. I think more programming should be thought in this course. It' s just very theoritical. -course -Negative -The course is very preliminary. I think more $T$ should be thought in this course. It' s just very theoritical. -programming -Negative -$T$ is great for an absolute beginner. For anyone on the intermediate end of the spectrum it will seem very basic. -Content -Positive -Quite basic- but good overview of general $T$. Don' t do this on its own, it' s quite useless as a standalone module -theory -Positive -Quite basic- but good overview of general theory. Don' t do this on its own, it' s quite useless as a standalone $T$ -module -Negative -its just an introduction to R please make it more explanation to R even if there $T$ about itand thanks very much -course -Negative -The $T$ accomplished its goal. Nevertheless, since it is a paid course I expected to find more theoretical content -course -Positive -very helpful but i think it is too short, i need some more $T$ to fully understand what these tools used for -concepts -Neutral - Lots of very general review $T$, not much new stuff. Did force me to start getting familiar with gitHub. -information -Negative -Super basic and boring $T$. Mostly talks about R Studio and GIT. Not of much help to those with IT experience. -stuff -Negative -the $T$ is too low and the level of instructing are not for beginners, but with a lot of effort you could pass -voice -Negative -the voice is too low and the level of $T$ are not for beginners, but with a lot of effort you could pass -instructing -Negative -Github exposition is a little complicated. I believe it could be more detailed. But the rest is very well done! Doing this course first doesn t make you anticipate how difficult could this speciality in the next courses: p There is practically nothing in this $T$ to learn. It can be termed as a introduction to the specialization -course -Negative -The $T$ is too easy to be called a course. Just an easy intro, which you can complete in a couple of days. -course -Negative -It is good for those who are looking what is data science and how to $T$ R and Github and how they work. -install -Positive -A little more depth on R and R studio and the rest and more data driven $T$ would have been appreciated -projects -Neutral -Easy $T$ into R, maybe a bit too slow though. Course name is a bit misleading and not informative. -introduction -Negative -It was great to know new terms and $T$ used in data science. However, the course is mostly theoretical. -tools -Positive -It was great to know new terms and tools used in data science. However, the $T$ is mostly theoretical. -course -Negative -Not a fan of the $T$ since they do not provide rationales or solutions if you got an answer wrong. -quizzes -Negative -Would have loved it even more if there was an in- depth $T$ of how to use GitHub using Git bash -explanation -Negative -The $T$ is great, but it tends to have zero relation to the content tested in the quizes. -video content -Positive -The video content is great, but it tends to have zero relation to the $T$ tested in the quizes. -content -Neutral -The video content is great, but it tends to have zero relation to the content tested in the $T$. -quizes -Negative -I don' t feel like I $T$ a ton from this, but hopefully, it prepares me for the next courses. -learned -Negative -This $T$ should not be the first module of the specialization. Also, it lacks exercises and the content' s explanation is not that deep and interactive, making the first course of the specialization boring and not caught student attention. -course -Negative -This course should not be the first module of the specialization. Also, it lacks $T$ and the content' s explanation is not that deep and interactive, making the first course of the specialization boring and not caught student attention. -exercises -Negative -This course should not be the first module of the specialization. Also, it lacks exercises and the content' s $T$ is not that deep and interactive, making the first course of the specialization boring and not caught student attention. -explanation -Negative -The $T$ is a bother. If it is something experimental, the course should be free: students are human beings, not guinea pigs. There are better books and tutorials for installing and exploring the software. -robot voice -Negative -This module should not be kept as a separate piece... The steps mentioned in the $T$ does not properly cover what is asked in the assignments. The lecture content needs to improve to cover the assignment -lectures -Negative -This module should not be kept as a separate piece... The steps mentioned in the lectures does not properly cover what is asked in the assignments. The lecture $T$ needs to improve to cover the assignment -content -Negative -It is too easy as a" university" $T$. It is much more like a pratictioner course. The final exam is ridiculous, really too easy. It can be thought as a week course instead of a four week course. -course -Negative -It is too easy as a" university" course. It is much more like a pratictioner course. The final $T$ is ridiculous, really too easy. It can be thought as a week course instead of a four week course. -exam -Negative -$T$ great. Quizzes are idiotic. You take the quiz, it tells you that you got an answer wrong but does not tell you why most of the time-- so no chance to learn from your mistakes. -Presentation -Positive -Presentation great. $T$ are idiotic. You take the quiz, it tells you that you got an answer wrong but does not tell you why most of the time-- so no chance to learn from your mistakes. -Quizzes -Negative -Very little information for the $T$. I was done with the whole course in a few hours. The review in the next course covered most of the same things. It certainly wasn' t worth the price. -cost -Negative -Very little information for the cost. I was done with the whole $T$ in a few hours. The review in the next course covered most of the same things. It certainly wasn' t worth the price. -course -Negative -This was really basic information. It' s not really a 4 week $T$. It takes several hours. The info is necessary, but it' s sufficient as a single week of content for a larger course. -course -Negative -This was really basic information. It' s not really a 4 week course. It takes several hours. The info is necessary, but it' s sufficient as a single week of $T$ for a larger course. -content -Negative -The $T$ makes it extremely difficult to fully understand the information presented. I found myself having to listen more than once to ensure I did not miss any information. -robot voice -Negative -The robot voice makes it extremely difficult to fully $T$ the information presented. I found myself having to listen more than once to ensure I did not miss any information. -understand -Negative -Very basic $T$, I was able to complete the 4 weeks on content in a weekend. I would recommend skipping this module and moving directly to the R Programming course. -course -Negative -I had enrolled for the several courses long back still I am unable to appear for the $T$( assignments). Kindly look into the matter and resolve it at earliest. -Quizzes -Negative -Very basic even for people with no DS background. Issues with $T$ having passed and results showing as failed. Inability to speed up and move on to next module -quiz -Negative -I didn' t like how I couldn' t do some of the tasks because some steps were missing from $T$ and texts and there is no help in the course except the forum -videos -Negative -I didn' t like how I couldn' t do some of the tasks because some steps were missing from videos and texts and there is no help in the $T$ except the forum -course -Negative -I didn' t like how I couldn' t do some of the tasks because some steps were missing from videos and texts and there is no help in the course except the $T$ -forum -Neutral -Too slow!! Why waiting for others to finalize and rate, enter enough dummy $T$ so that the student can complete the course much sooner. Thanks. -exercises -Neutral -Very superficial knowledge. More $T$ are needed and daily problem examples. The use of github and his pratical purpose is not clear. -pratical exercises -Negative -Very superficial knowledge. More pratical exercises are needed and daily problem examples. The use of github and his pratical $T$ is not clear. -purpose -Negative -Very average do not feel I learnt much. Still not sure if it' s over or not since i' ve submitted a peer $T$ and cannot go any further. -review assignment -Negative -This could probably be compressed into a single week of setup for the R Programming course. There isn' t much in terms of substantive $T$ here. -learning -Negative -$T$ is good but the thing to tell is that robots can' t express actions, only humans can. So please change these videos as human lectures. -Content -Positive -Content is good but the thing to tell is that robots can' t express actions, only humans can. So please change these $T$ as human lectures. -videos -Negative -I mean, it' s replicated in the next classes, and it has silly questions in the $T$. It' s not worth it. Just kill this. -practice quizzes -Negative -Very basic $T$ to Data Science. Seasoned programmer or other IT professionals are likely to find this course really weak. -introduction -Negative -it is a good $T$ but need to show more examples of R. the course should show more empirice examples of the functions of R. -course -Positive -it is a good course but need to show more $T$ of R. the course should show more empirice examples of the functions of R. -examples -Negative -A good intro to the $T$ required for a Data Scientist. However, could cover the usage of the terminal and Rstudio better. -tools -Positive -Not that useful. There is no need for $T$. The content can simply be presented in one single PDF in a time- saving way. -videos -Negative -Not that useful. There is no need for videos. The $T$ can simply be presented in one single PDF in a time- saving way. -content -Neutral -$T$ are getting out of date, especially with some of Github' s new features. Instruction not clear in some lessons. -Materials -Negative -Materials are getting out of date, especially with some of Github' s new features. $T$ not clear in some lessons. -Instruction -Negative -I do not think it is worth the money as the $T$ is really basic and installation of software can be learnt online. -content -Negative -I do not think it is worth the money as the content is really basic and $T$ of software can be learnt online. -installation -Neutral -Too little $T$. Can finish the entire course in a few hours. Could be compressed into the first week of a course -content -Negative -Too little content. Can finish the entire course in a few hours. Could be compressed into the first week of a $T$ -course -Neutral -If you can install R& RStudio and sign up for Github, then you' re 80% finished with this $T$ before you start. -course -Negative -Link does not blue- highlight in the last question and confuses the $T$ to think that the link does not work. -graders -Neutral -they made this many $T$ as they can earn more money. I dont think this course should me taught seperately -courses -Negative -Very, very, very basic $T$. The entire 4 weeks could have( and should have) been condensed into 1 week. -intro -Negative -I didnt $T$ anything about data science. I could have learned how to install all those tools by myself -learn -Negative -I didnt learn anything about data science. I could have learned how to install all those $T$ by myself -tools -Neutral -There just wasn' t much to this $T$. It' s not bad information, but it could have been done in one week. -class -Negative -There just wasn' t much to this class. It' s not bad $T$, but it could have been done in one week. -information -Neutral -Maybe, I am already somehow experienced, but I think that the $T$ I spent on that was a waste:/ -time -Negative -This $T$ is very basic and takes nowhere near 1 month. I spent about 3 hours in total on it. -course -Neutral -i feel that the $T$ need more explanation.. i got really lost in the begging of the HW -course -Negative -i feel that the course need more $T$.. i got really lost in the begging of the HW -explanation -Negative -Although the $T$ is correct, quality models videos and materials is very low, wanted to make all the specialization, but I' m not satisfied with the quality of the course. It' s a shame, because the JHU is an excellent University -content -Positive -Although the content is correct, quality models $T$ and materials is very low, wanted to make all the specialization, but I' m not satisfied with the quality of the course. It' s a shame, because the JHU is an excellent University -videos -Negative -Although the content is correct, quality models videos and $T$ is very low, wanted to make all the specialization, but I' m not satisfied with the quality of the course. It' s a shame, because the JHU is an excellent University -materials -Negative -Too basic $T$. I have not learned anything with this course( installing R and RStudio should not be part of exercises or lectures). I hope R programming course will be better -content -Negative -Too basic content. I have not learned anything with this course( installing R and RStudio should not be part of $T$ or lectures). I hope R programming course will be better -exercises -Negative -Too basic content. I have not learned anything with this course( installing R and RStudio should not be part of exercises or $T$). I hope R programming course will be better -lectures -Negative -This is pure theoretical $T$, It' s look like a Power Point presentation. Students can not easily understand this. I do not recommend this type of teaching on Coursera -course -Negative -This is pure theoretical course, It' s look like a Power Point presentation. Students can not easily understand this. I do not recommend this type of $T$ on Coursera -teaching -Negative -This is pure theoretical course, It' s look like a Power Point presentation. Students can not easily understand this. I do not recommend this type of teaching on $T$ -Coursera -Negative -Some interesting $T$, but way to simplistic in my opinion. Only reason I see to pay for it is the fact that it is a requirement in the Data Science Specialization -concepts -Positive -Do not take this $T$ if you want to get a job in industry. Python now dominates industry and R is basically obsolete. I will be switching to a course in Python. -course -Negative -Certainly not worth paying for this $T$, only talks about how to install the tools. Not able to take quizzes when you try to take the course for free. -course -Negative -Certainly not worth paying for this course, only talks about how to $T$ the tools. Not able to take quizzes when you try to take the course for free. -install -Neutral -Certainly not worth paying for this course, only talks about how to install the tools. Not able to take $T$ when you try to take the course for free. -quizzes -Negative -Good introductory $T$. However, an overkill as a separate course( and hence charging $ 30 for it). Courses 1 and 2 could have been clubbed together. -course -Positive -Good introductory course. However, an overkill as a separate course( and hence $T$ $ 30 for it). Courses 1 and 2 could have been clubbed together. -charging -Negative -It has almost no $T$ and isn' t actually useful. I' ve heard later classes in the series are way tougher, so the ramp up isn' t at all good. -content -Negative -It has almost no content and isn' t actually useful. I' ve heard later $T$ in the series are way tougher, so the ramp up isn' t at all good. -classes -Negative -Not really enough $T$ to be a course in it' s own right, should be additional material as is useful, but definitely not a requirement. -content -Negative -It is really basic $T$, I expected much more even if this is offered only for $ 29.. ( the cheapest course in the specialisation) -course -Negative -I think a few people like to hear the mechanical $T$. Some videos have really low resolution and it is hard to see the codes. -voice -Negative -I think a few people like to hear the mechanical voice. Some $T$ have really low resolution and it is hard to see the codes. -videos -Negative -Not worth the $T$. Extremely basic stuff spread very thin over too much time just to be able to charge for it. -price -Negative -Not worth the price. Extremely basic $T$ spread very thin over too much time just to be able to charge for it. -stuff -Negative -Way too $T$ for the price- almost no content- this is just setup- I resent paying for setup instructions. -basic -Negative -Way too basic for the $T$- almost no content- this is just setup- I resent paying for setup instructions. -price -Negative -Course $T$ was good, but assignments were too hard and not well linked to the rest of the content. I spent hours online trying to work out the assessments which then leads to the question of why the course -content -Positive -Course content was good, but $T$ were too hard and not well linked to the rest of the content. I spent hours online trying to work out the assessments which then leads to the question of why the course -assignments -Negative -Course content was good, but assignments were too hard and not well linked to the rest of the content. I spent hours online trying to work out the $T$ which then leads to the question of why the course -assessments -Negative -The gap between $T$ and course content/ exercise is too big. Assignments are very difficult to complete without programming knowledge. -assignments -Negative -The gap between assignments and course content/ exercise is too big. $T$ are very difficult to complete without programming knowledge. -Assignments -Negative -Damn near worthless. The course $T$ has significant gaps of information. The programming assignments require knowledge that isn' t presented in the course. I had to Google my way through this entire course. I would not recommend it. -material -Negative -Damn near worthless. The course material has significant gaps of information. The programming $T$ require knowledge that isn' t presented in the course. I had to Google my way through this entire course. I would not recommend it. -assignments -Negative -Very challenging, but good $T$. I' ve been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle. -course -Positive -Very challenging, but good course. I' ve been programming in R for over a year, but there were still some things for me to pick up in this class. $T$ were a challenge, but satisfying to tackle. -Assignments -Positive -Really interesting $T$. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4. -course -Positive -Really interesting course. The interactive $T$ with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4. -coding sessions -Positive -" R Programming" forces you to dive in deep. These $T$ serve as a strong basis for the rest of the data science specialization. Material is in depth, but presented clearly. Highly recommended! -skills -Positive -" R Programming" forces you to dive in deep. These skills serve as a strong basis for the rest of the data science specialization. $T$ is in depth, but presented clearly. Highly recommended! -Material -Positive -Great $T$, however I think it is particularly hard for those who never had programmed in R before. Moreover I think the Programming Assignments were quite hard regarding the topics being discussed during the weeks. -course -Positive -Great course, however I think it is particularly hard for those who never had programmed in R before. Moreover I think the $T$ were quite hard regarding the topics being discussed during the weeks. -Programming Assignments -Negative -please take care while framing $T$ and quize question it is very difficult to understand what exactly u want us to do -assignment -Negative -please take care while framing assignment and $T$ question it is very difficult to understand what exactly u want us to do -quize -Negative -Wonderful $T$ and good assignments. Very, very clear presentations. Minor drawbacks: there' s no assistance available for the assignments( which can be quite difficult). The quizzes require sometimes information that is not directly available in the video lectures. Note that it takes more hrs per week than mentioned( but it' s worthwhile!). -lectures -Positive -Wonderful lectures and good $T$. Very, very clear presentations. Minor drawbacks: there' s no assistance available for the assignments( which can be quite difficult). The quizzes require sometimes information that is not directly available in the video lectures. Note that it takes more hrs per week than mentioned( but it' s worthwhile!). -assignments -Positive -Wonderful lectures and good assignments. Very, very clear $T$. Minor drawbacks: there' s no assistance available for the assignments( which can be quite difficult). The quizzes require sometimes information that is not directly available in the video lectures. Note that it takes more hrs per week than mentioned( but it' s worthwhile!). -presentations -Positive -Wonderful lectures and good assignments. Very, very clear presentations. Minor drawbacks: there' s no assistance available for the $T$( which can be quite difficult). The quizzes require sometimes information that is not directly available in the video lectures. Note that it takes more hrs per week than mentioned( but it' s worthwhile!). -assignments -Negative -Wonderful lectures and good assignments. Very, very clear presentations. Minor drawbacks: there' s no assistance available for the assignments( which can be quite difficult). The $T$ require sometimes information that is not directly available in the video lectures. Note that it takes more hrs per week than mentioned( but it' s worthwhile!). -quizzes -Neutral -The $T$ is a very skilled presenter that it' s difficult to get bored watching the videos. The partially completed code is a great idea, too. Enjoyed this course! -lecturer -Positive -The lecturer is a very skilled presenter that it' s difficult to get bored watching the $T$. The partially completed code is a great idea, too. Enjoyed this course! -videos -Positive -The lecturer is a very skilled presenter that it' s difficult to get bored watching the videos. The partially completed $T$ is a great idea, too. Enjoyed this course! -code -Positive -The $T$ is excelente, But I would like you to promote a little more the community. Due to, sometime is difficult to advance when you don' t understand a subject. -material -Positive -After watching Emily' s Fox Regression wondered how much better could this $T$ be... But Mr Guestrin is truly great. Fantastic job, well explained difficult concepts. Probably the best classification course out there -professor -Positive -After watching Emily' s Fox Regression wondered how much better could this professor be... But Mr Guestrin is truly great. Fantastic job, well explained difficult $T$. Probably the best classification course out there -concepts -Positive -Sometimes is difficult to understand the concept behind Classification because some $T$ are more practical than theorical, I mean it could be better to start the video explaining some concepts and then show and explan some samples and theorical issues. Thanks. -videos -Neutral -Good $T$ overall. Some difficult materials such as boosting were not clear enough and I had to look into a few online resources to really understand it. -course -Positive -Good course overall. Some difficult $T$ such as boosting were not clear enough and I had to look into a few online resources to really understand it. -materials -Negative -This $T$ could be better if more programming content was taught. The programming assignments are difficult and not taught in courses. -course -Neutral -This course could be better if more programming content was taught. The $T$ are difficult and not taught in courses. -programming assignments -Negative -Lots of $T$ are outdated as the tools( Both CognitiveLabs/ Datascientist workbench AND IBM Watson Studio) have gone major updates and it was very difficult to follow the video tutorials. Unless the videos are updated, I cannot give a better rating than 3. -videos -Negative -Lots of videos are outdated as the tools( Both CognitiveLabs/ Datascientist workbench AND IBM Watson Studio) have gone major updates and it was very difficult to follow the $T$. Unless the videos are updated, I cannot give a better rating than 3. -video tutorials -Negative -Good $T$ to understand the tool set and learn basics. However, the site used in the course is now updated which made navigation very difficult. It would serve the student to update these videos and make the most of their time. -course -Positive -Good course to understand the tool set and learn basics. However, the site used in the course is now updated which made $T$ very difficult. It would serve the student to update these videos and make the most of their time. -navigation -Negative -The lab $T$ showed an out- of- date version of Watson Studio and following along with the instructor during the Github portion of this course was very difficult. I had to go to outside resources to understand the program. -videos -Negative -The lab videos showed an out- of- date version of Watson Studio and following along with the $T$ during the Github portion of this course was very difficult. I had to go to outside resources to understand the program. -instructor -Neutral -$T$ are someway useful. But I have faced difficulty to find IBM Watson Studio. The Link that was shared in the videos are not directing to the actual watson studio link. Please add the actual link -videos -Positive -Very useful $T$, great way for anyone to familiarize themselves with open source data science tools. The videos are outdated, however, which made it difficult to do the assignments at times. -course -Positive -Very useful course, great way for anyone to familiarize themselves with open source data science $T$. The videos are outdated, however, which made it difficult to do the assignments at times. -tools -Positive -Very useful course, great way for anyone to familiarize themselves with open source data science tools. The $T$ are outdated, however, which made it difficult to do the assignments at times. -videos -Negative -Very useful course, great way for anyone to familiarize themselves with open source data science tools. The videos are outdated, however, which made it difficult to do the $T$ at times. -assignments -Negative -Overall, I enjoyed the $T$. However, the video instructions for using IBM Watson Studio did not match the updated version, thus making it a bit difficult and frustrating to follow along. -course -Positive -Overall, I enjoyed the course. However, the $T$ for using IBM Watson Studio did not match the updated version, thus making it a bit difficult and frustrating to follow along. -video instructions -Negative -The only reason I gave this only 3 stars is because the Week 3 $T$ did not match up to the content instruction. This made it difficult and confusing. Not sure when it will be fixed. -videos -Negative -A nice introduction to the open source $T$. Not much programming, but a good starting point at least on Markdown usage. Hopefully the certification will get more difficult with time! -tools -Positive -IBM watson studio $T$ are outdated. Ibm platform has been updated and the videos do not correspond to the current version making it difficult to follow. this should be improved -videos -Negative -The $T$ could be updated for the current IBM Watson Studio user interface. It was difficult to follow the instructor. Also SPSS Modeler tutorial there was no way to practice -content -Negative -The content could be updated for the current IBM Watson Studio user interface. It was difficult to follow the $T$. Also SPSS Modeler tutorial there was no way to practice -instructor -Negative -Good $T$ for the basics, but the assignments are very difficult as lectures do not cover everything which is asked in the assignments. -course -Positive -Good course for the basics, but the $T$ are very difficult as lectures do not cover everything which is asked in the assignments. -assignments -Negative -Good course for the basics, but the assignments are very difficult as $T$ do not cover everything which is asked in the assignments. -lectures -Negative