Xgboost, Adaboost, Machine Learning, Boosting, Data Science.
XGBoost Regularization techniques (L1 and L2) for controlling overfitting. Parallel and distributed computing capabilities for faster training. Tree pruning to control model complexity and enhance interpretability. Built-in support for missing data. Applications of XGBoost Kaggle competition