Top Data Science Projects- boom to your career!
Tags: datascienceprojects, programming, computerscience, datascience
Published: 2020-05-27 12:00:13

<p><strong>Hola data science enthusiast!</strong></p>
<p><span style="font-weight: 400;">A million-dollar question:</span><strong> How to become a data scientist?</strong></p>
<p><strong>The simplest answer: </strong><span style="font-weight: 400;">Work on real-time data science projects which actually data scientists are working upon.</span></p>
<p><span style="font-weight: 400;">Your search and curiosity for data science projects end here!!</span></p>
<p><strong><em>Ssshhhhh!!!!!!</em></strong><em><span style="font-weight: 400;"> Source code included.....</span></em></p>
<h3><strong>Data Science Projects for beginners:</strong></h3>
<ul>
<li><strong>Fake News Detection Project:&nbsp;</strong></li>
</ul>
<p><span style="font-weight: 400;">A master of yellow journalism, fake news is false data, and hoaxes spread by social media and other online media to accomplish a political agenda.&nbsp;</span></p>
<p><span style="font-weight: 400;">In this data science project, we will utilize Python to develop a model that can correctly detect whether a piece of news is real or fake.&nbsp;</span></p>
<p><span style="font-weight: 400;">We&rsquo;ll develop a TfidfVectorizer and use a PassiveAggressiveClassifier to distribute news into &ldquo;Real&rdquo; and &ldquo;Fake&rdquo;. We&rsquo;ll be practicing a dataset of shape 7796&times;4 and perform everything in Jupyter Lab.</span></p>
<p><span style="font-weight: 400;">Drive the career of media in the right direction by working on the project </span><a href="https://bit.ly/2B7Bk4X"><span style="font-weight: 400;">Detecting Fake news with the help of python</span></a><span style="font-weight: 400;">.</span></p>
<ul>
<li><strong>Color Detection Project:&nbsp;</strong></li>
</ul>
<p><span style="font-weight: 400;">In this data science project, we are going to develop an interactive app that will recognize the selected color from any image.&nbsp;</span></p>
<p><span style="font-weight: 400;">To achieve this we will require a labeled data of all the associated colors then we will determine which color resembles the most with the selected color value.</span></p>
<p><span style="font-weight: 400;">Ready to Develop an application to identify colors with Beginner </span><a href="https://data-flair.training/blogs/project-in-python-colour-detection/"><span style="font-weight: 400;">Data Science Color Detection with OpenCV Project</span></a><span style="font-weight: 400;">.</span></p>
<ul>
<li style="font-weight: 400;"><strong>Sentiment Analysis Project</strong><span style="font-weight: 400;">:&nbsp;</span></li>
</ul>
<p><span style="font-weight: 400;">Sentiment analysis is the act of analyzing words to discover sentiments and opinions that may be positive or negative in polarity. This is a kind of classification where the classes may be binary (positive and negative) or multiple (happy, angry, sad, disgusted,..).&nbsp;</span></p>
<p><span style="font-weight: 400;">We&rsquo;ll perform this data science project in the language R and utilize the dataset by the &lsquo;janeaustenR&rsquo; package.</span></p>
<p><span style="font-weight: 400;">Check the complete implementation of the </span><a href="https://data-flair.training/blogs/data-science-r-sentiment-analysis-project/"><span style="font-weight: 400;">Sentiment Analysis Project in R</span></a> <strong>with Source Code</strong><span style="font-weight: 400;">.</span></p>
<ul>
<li><strong>Stock Price Prediction project:</strong></li>
</ul>
<p><strong><span style="font-weight: 400;">Machine learning has significant applications in the stock price prediction. In this machine learning project, we will be talking about predicting the returns on stocks.&nbsp;</span></strong></p>
<p><span style="font-weight: 400;">Check the complete </span><a href="https://data-flair.training/blogs/stock-price-prediction-machine-learning-project-in-python/"><span style="font-weight: 400;">Stock price prediction, a machine learning project for beginners</span></a><span style="font-weight: 400;">.</span></p>
<p>&nbsp;</p>
<h3><strong>Intermediate data science</strong> <strong>projects</strong></h3>
<ul>
<li><strong>Speech Emotion Recognition Project:&nbsp;</strong></li>
</ul>
<p><span style="font-weight: 400;">This data science project practices librosa to perform Speech Emotion Recognition. SER is the method of trying to understand human emotion and affective states from speech. Since we practice tone and pitch to express emotion through voice, SER is possible; but it is difficult because emotions are subjective, and annotating audio is challenging. We&rsquo;ll practice the mfcc, chroma, and mel features and use the RAVDESS dataset to understand emotion on. We&rsquo;ll develop an MLPClassifier for the model.</span></p>
<p><span style="font-weight: 400;">Explore the complete implementation of the</span><a href="https://bit.ly/3cb1jVL"><span style="font-weight: 400;"> Speech emotion recognition project</span></a><span style="font-weight: 400;">.</span></p>
<ul>
<li><strong>Face Recognition with Python<em>&nbsp;:</em></strong></li>
</ul>
![Alt Text](https://dev-to-uploads.s3.amazonaws.com/i/7s9ibk482jt9h7er9v2g.gif)
<p><strong><em>&nbsp;</em><span style="font-weight: 400;">Identify and recognize a person in the live real-time video. Get the </span><a href="https://projectgurukul.org/deep-learning-project-face-recognition-with-python-opencv/"><span style="font-weight: 400;">entire source code of the face recognition project</span></a><span style="font-weight: 400;">.</span></strong></p>
<ul>
<li>Gender and Age Detection Project:&nbsp;</li>
</ul>
<p><span style="font-weight: 400;">In this data science project we introduce you to Computer Vision and its principles. We&rsquo;ll develop a Convolutional Neural Network and use models trained by Tal Hassner and Gil Levi for the Adience dataset. We&rsquo;ll utilize some .pb, .pbtxt, .prototxt, and .caffemodel files along the way.</span></p>
<p><span style="font-weight: 400;">Get to know the practical implementation and source code of </span><a href="https://data-flair.training/blogs/python-project-gender-age-detection/"><span style="font-weight: 400;">gender and age detection project</span></a><span style="font-weight: 400;">.</span></p>
<ul>
<li><strong>Movie Recommendation System Project:&nbsp;</strong></li>
</ul>
<p><span style="font-weight: 400;">In this data science project, we&rsquo;ll use R to accomplish a movie recommendation through machine learning.&nbsp;</span></p>
<p><span style="font-weight: 400;">A recommendation system gives suggestions to users through a filtering method based on other users&rsquo; preferences and browsing records. If A and B like Home Alone and B likes Mean Girls, it can be recommended to A &ndash; they might like it too. This keeps clients engaged with the platform.</span></p>
<p><span style="font-weight: 400;">Explore the entire implementation of the </span><a href="https://bit.ly/2X7b4Aa"><span style="font-weight: 400;">movie recommendation system project</span></a><span style="font-weight: 400;"> with source code.</span></p>
<ul>
<li><strong>Deep Learning Project &ndash; Colorize Black &amp; White Images with Python:</strong></li>
</ul>
<p><span style="font-weight: 400;">This Deep Learning Project aims to provide colorizing black &amp; white images with Python.</span></p>
<p><span style="font-weight: 400;">In image colorization, we take a black and white image as input and produce a colored image. We will solve this project with OpenCV deep neural network.</span></p>
<p><span style="font-weight: 400;">Get the complete </span><a href="https://techvidvan.com/tutorials/deep-learning-project-colorize-black-white-images-with-python/"><span style="font-weight: 400;">implementation and source code of colorizing black and white project with python</span></a><span style="font-weight: 400;">.</span></p>
<p>&nbsp;</p>
<h3><strong>Advanced data science projects</strong></h3>
<ul>
<li style="font-weight: 400;"><strong>Image Caption Generator Project:</strong><span style="font-weight: 400;">&nbsp;</span></li>
</ul>
<p><span style="font-weight: 400;">It is a tough task for computers to recognize what is in the image and then generating the description in Natural language like English is another tough task.&nbsp;</span></p>
<p><span style="font-weight: 400;">This Data Science project uses deep learning methods where we perform a Convolutional neural network (CNN) with Recurrent Neural Network( LSTM) to develop the image caption generator.</span></p>
<p><span style="font-weight: 400;">Check the complete implementation of the </span><a href="https://data-flair.training/blogs/python-based-project-image-caption-generator-cnn/"><span style="font-weight: 400;">Image Caption generator project</span></a><span style="font-weight: 400;">.</span></p>
<ul>
<li style="font-weight: 400;"><strong>Credit Card Fraud Detection Project:</strong><span style="font-weight: 400;">&nbsp;</span></li>
</ul>
<p><span style="font-weight: 400;">In this Data Science project, we&rsquo;ll practice R with algorithms like Decision Trees, Logistic Regression, Artificial Neural Networks, and Gradient Boosting Classifier. We&rsquo;ll practice the Card Transactions dataset to analyze credit card transactions into fraudulent and genuine. We&rsquo;ll provide various models and plot performance curves for them.</span></p>
<p><span style="font-weight: 400;">Save the world from this fraud and learn to implement the </span><a href="https://bit.ly/2yAKg1K"><span style="font-weight: 400;">Credit card fraud detection project</span></a><span style="font-weight: 400;">.</span></p>
<ul>
<li><strong>Driver Drowsiness Detection Project:&nbsp;</strong></li>
</ul>
![Alt Text](https://dev-to-uploads.s3.amazonaws.com/i/sxx660806k5q1fvxrpuv.gif)
<p><span style="font-weight: 400;">In this Python Data Science project, we will develop a system that can identify sleepy drivers and also inform them by beeping alarm.&nbsp;</span></p>
<p><span style="font-weight: 400;">This project is developed using Keras and OpenCV. We will use OpenCV for face and eye detection and with Keras, we will analyze the state of the eye (Open or Close) practicing Deep neural network techniques.</span></p>
<p><span style="font-weight: 400;">Drowsy driving is very dangerous, Learn to implement </span><a href="https://bit.ly/2AbIAwg"><span style="font-weight: 400;">driver drowsiness detection project</span></a><span style="font-weight: 400;"> (source code included)</span><br /><br /></p>
<p><strong><em>Still Hungry??</em></strong></p>
<p><span style="font-weight: 400;">Explore </span><a href="https://data-flair.training/blogs/machine-learning-datasets/"><span style="font-weight: 400;">70+ Machine Learning Datasets &amp; Project Ideas &ndash; Work on real-time Data Science projects</span></a><span style="font-weight: 400;">.</span></p>
<p><span style="font-weight: 400;">You are all set to rock!</span></p>
<p><span style="font-weight: 400;">Happy learning!</span></p>