XGBoost

XGBoost is an optimized distributed gradient boosting library focused on efficiency, flexibility, and scalability. It implements several machine learning algorithms—primarily under the Gradient Boosting framework—to solve large-scale and complex data science problems. Supporting multiple programming languages like Python, R, Julia, and Scala, XGBoost is well-suited for researchers, data scientists, and machine learning practitioners building predictive analytics pipelines in distributed and high-performance environments.