A comprehensive, modular collection of fundamental Machine Learning algorithms implemented from scratch in pure Python and NumPy — without relying on high-level ML libraries like Scikit-Learn for the ...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...
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