Catboost, introduced by a team at Yandex, excels at handling categorical features without the need for extensive preprocessing. Unlike Exegg push, which requires one-hot encoding, both Catboost and Light GBM automatically manage categorical variables, simplifying the modeling process. Dive into the nuances of these algorithms to enhance your machine learning projects.
