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Abhishek Dutta
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README.md

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# youtube-data-trends-predictor
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# youtube_recommender_system
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We are using YouTube videos to analyze interesting trends and predict tags associated with each video and perform sentiment analysis on those videos.
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## Back end (Part 2): Prepocessing (Extraction, Cleaning and Condensing), Machine Learning and Sentiment Analysis Model
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## Back end <---
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## Files: <code>ipython notebook/python</code>
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## This is the Data Science (CS1951a) Final Project Website [[Click Here]](https://pengyangwu.github.io/CS1951a/)
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## Front end
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## Back end (Part 1): Data Grabbing by YouTube API
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## Back-end (Part 1): Data Grabbing by YouTube API
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## Back-end source code is here:
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## Back-end (Part 1) source code is here:
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## https://github.com/PrestonLaw/CSCI1951AProject/tree/master
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## Files: <code>python</code>
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## Back-end (Part 2): Prepocessing (Extraction & Cleaning), Machine Learning & Sentiment Analysis Model
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## Back-end (Part 2) source code is here:
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## https://github.com/abhishekdutta/youtube-data-trends-predictor
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## Files: <code>ipython notebook/python</code>
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index.html

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<a href="viz_to_do.html">
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<div>* Web Application *</div>
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<div>
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<div>Web Application</div>
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<div>Web Application</div>
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<div>Web Application</div>
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</a>
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<a href="viz5.html">
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<div>5. Senti Over Days Trend </div>
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<div>* Click for Trend Viz!</div>
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</div>
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</div>
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</a>
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<a href="https://youtubedatascience.wixsite.com/youtubedatasci">
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