Description
XGBoost (Extreme Gradient Boosting) is an open-source machine learning library designed for scalable, fast, and accurate gradient boosting. It features optimized implementations for tree-based models, supports parallel computing, and provides regularization techniques to reduce overfitting. XGBoost is widely used in data science competitions and production environments, excelling in structured data tasks such as classification and regression.
