XGBoost

XGBoost is an optimized, distributed gradient boosting library that implements machine learning algorithms for both classification and regression under the Gradient Boosting framework. It is designed for high performance and portability, offering fast, accurate parallel tree boosting that scales across major distributed environments. XGBoost supports several popular languages, including Python, R, Julia, and Scala, making it a popular choice for data scientists and ML engineers facing large-scale or performance-critical problems.