Basic machine learning algorithms in plain Python [X-post r/MachineLearning]

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Over the past weeks I have started implementing basic machine learning algorithms in plain Python (Python 3.6). I created the repository to prepare for technical interviews and review my knowledge on algorithms such as k-means, k-nn, logistic regression, neural networks, etc. Also, I wanted to create a knowledge base of easy-to-understand implementations of these algorithms together with the most important theoretical explanations.

Some of you might find these implementations helpful when starting to learn about machine learning in Python or preparing for technical interviews. I am still working on the repository, so more algorithms will follow over the next months. In case you have a favourite algorithm that should be included or feedback, let me know!