[**CatBoost**](https://github.com/catboost/catboost) is a gradient boosting library by Yandex, optimised for tabular data with native support for categorical features (no preprocessing needed). It excels in classification, regression, and ranking tasks, often rivalling or outperforming LightGBM and XGBoost in accuracy with less parameter tuning.