CatBoost
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Explore more → What is CatBoost?
CatBoost is a high-performance open-source gradient boosting library developed by Yandex. It is designed to handle categorical features effectively, often outperforming other algorithms in datasets with many categorical variables. It is commonly used for classification, regression, ranking, and other machine learning tasks.
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