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README.md

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 _For Octave/MatLab version of this repository please check [machine-learning-octave](https://github.com/trekhleb/machine-learning-octave) project._
 
 > This repository contains examples of popular machine learning algorithms implemented in **Python** with mathematics behind them being explained. Each algorithm has interactive **Jupyter Notebook** demo that allows you to play with training data, algorithms configurations and immediately see the results, charts and predictions **right in your browser**. In most cases the explanations are based on [this great machine learning course](https://www.coursera.org/learn/machine-learning) by Andrew Ng.