60 Days of Data Science and Machine Learning
Tags: python, datascience, machinelearning, ai
Published: 2022-08-20 05:28:00

Hello, everyone.

Following are first 2 weeks of this series. You can find them on my github repository. You can run all the notebook on colab or jupyter as well.

- [Day 1 - Python Basics Part1](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_01_Python_Basics_Part1.ipynb)

    Topic : Data Types, Strings, Operators, Chaining Comparison Operators with Logical Operators

- [Day 2 - Python Basics Part2](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_02_Python_Basics_Part2.ipynb)

    Topic : Python Lists and Dictionaries, Sets, Tuples and etc

- [Day 3 - Python Basics Part3](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_03_Python_Basics_Part3.ipynb)

    Topic : Loop, Break and Continue Statement, Object-Oriented Programming and Class

- [Day 4 - Intermediate Python Part1](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_04_Intermediate_Python_Part1.ipynb)

    Topic : First Class Function, Private variables, Global and Non Local variables, Magic Function, Tuple Unpacking, Static Variables and Method

- [Day 5 - Intermediate Python Part2](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_05_Intermediate_Python_Part2.ipynb)

    Topic : Lambda function, Matic methods, Inheritance and Polymorphism, Erros and Exception Handling, User-defined function, Python garbage collection, and debugger

- [Day 6 - Advanced Python](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_06_Advanced_Python.ipynb)

    Topic : Decorators, Memoization using Decorators, Generators, Ordered and Defaultdict, Coroutine

- [Day 7 - Statistics for Data Science and Machine Learning](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_07_Statistics_for_Data_Science_and_Machine_Learning.ipynb)

    Topic : Statistics for Data Science

- [Day 8 - Maths for Data Science and Machine Learning](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_08_Maths_for_Data_Science_and_Machine_Learning.ipynb)

    Topic : Linear Algebra, Calculus, Matrix and Vectors, Bayes Theorem and Cheatsheets

- [Day 9 - Pandas Part1](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_09_Pandas_Part1.ipynb)

    Topic : Pandas Series, DataFrame

- [Day 10 - Pandas Part2](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_10_Pandas_Part2.ipynb)

    Topic : Indexing, Filtering, Transformation, Merging, Hierarchial Indexing

- [Day 11 - Numpy](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_11_Numpy.ipynb)

    Topic : Flattening, Concatenation and Broadcasting

- [Day 12 - Data PreProcessing Part1](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_12_Data_PreProcessing_Part1.ipynb)

    Topic : Encoding categorical data, Split data, Feature Scaling

- [Day 13 - Data PreProcessing Part2](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_13_Data_PreProcessing_Part2.ipynb)

    Topic : Data Cleaning, Data Augmentation, Transformatoin, Channel Shift

- [Day 14 - Regression Part1](https://github.com/levintech/60-Days-of-Data-Science-and-ML/blob/main/Day_14_Regression_Part1.ipynb)

    Topic : Simple Linear Regression, Multi Linear Regression, Polynomial Regression


Hope my work would be little bit helpful for AI enthusiastic.
If that, please star that repository then follow me on Github and Dev.to

https://dev.to/levintech
https://github.com/levintech
Best Regards.