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CatBoost - open-source gradient boosting library

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box, successor of the MatrixNet algorithm developed by Yandex.

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Topics: boosting, catboost, catboost python, catboost regressor, catboostclassifier, classification, decision trees, gradient boosting, gradient boosting on decision trees, lightgbm, matrixnet, open-source gradient boosting library, regression, xgboost, yandex

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Ой!
Найдётся всё
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