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Python implementation of conventional ml-based algs from scratch.

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To AI practicer and researcher, high effective and encapsulate libraries work like black magic. It is completely necessary to dig into the raw implementation to get in-depth understanding.

All these algorithms coded with only basic python and numpy, which can be said from scratch. Part collected from others. There should be corresponding hyperlink inside source code, if not, it coded by myself.

update time: 2019/7/4 algs: naive bayes; random forest; multi layer perceptron; k-means

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