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 <a name="python-misc"></a>
 #### Misc Scripts / iPython Notebooks / Codebases
+* [Map/Reduce implementations of common ML algorithms](https://github.com/Yannael/BigDataAnalytics_INFOH515): Jupyter notebooks that cover how to implement from scratch different ML algorithms (ordinary least squares, gradient descent, k-means, alternating least squares), using Python NumPy, and how to then make these implementations scalable using Map/Reduce and Spark. 
 * [BioPy](https://github.com/jaredthecoder/BioPy) - Biologically-Inspired and Machine Learning Algorithms in Python.
 * [pattern_classification](https://github.com/rasbt/pattern_classification)
 * [thinking stats 2](https://github.com/Wavelets/ThinkStats2)