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@@ -17,6 +17,8 @@ This repo contains several Python tutorials for data analysis tasks.
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##ML with Python
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- [**AWESOME Python Machine Learning Book**](https://github.com/rasbt/python-machine-learning-book)
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- [Table of Contents and Code Notebooks](https://github.com/rasbt/python-machine-learning-book/blob/master/README.md#table-of-contents-and-code-notebooks)
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- [Machine Learning with scikit learn](http://www.dataschool.io/machine-learning-with-scikit-learn/)
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- [Cheatsheet](http://www.analyticsvidhya.com/blog/2015/09/full-cheatsheet-machine-learning-algorithms/)
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##Data Science with Python
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- [awesome-python](https://github.com/vinta/awesome-python)
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##Sentiment Analysis
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- [Twitter-Sentiment-Analysis](https://github.com/ujjwalkarn/Twitter-Sentiment-Analysis)
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##Machine Learning
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- [Machine Learning with scikit learn](http://www.dataschool.io/machine-learning-with-scikit-learn/)
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- [Cheatsheet](http://www.analyticsvidhya.com/blog/2015/09/full-cheatsheet-machine-learning-algorithms/)
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##Linear Regression
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- [Linear Regression in Python](http://nbviewer.ipython.org/github/justmarkham/DAT4/blob/master/notebooks/08_linear_regression.ipynb), [Blog Post](http://www.dataschool.io/linear-regression-in-python/)

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