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* [Pydata book](https://github.com/wesm/pydata-book) - Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media * [Pydata book](https://github.com/wesm/pydata-book) - Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
* [Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) - Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained * [Homemade Machine Learning](https://github.com/trekhleb/homemade-machine-learning) - Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
* [Prodmodel](https://github.com/prodmodel/prodmodel) - Build tool for data science pipelines. * [Prodmodel](https://github.com/prodmodel/prodmodel) - Build tool for data science pipelines.
* [the-elements-of-statistical-learning](https://github.com/maitbayev/the-elements-of-statistical-learning) - This repository contains Jupyter notebooks implementing the algorithms found in the book and summary of the textbook.
<a name="python-neural-networks"></a> <a name="python-neural-networks"></a>
#### Neural Networks #### Neural Networks