XGBoost (Extreme Gradient Boosting) is an open-source machine learning library that is widely recognized for its efficiency and performance. Designed for speed and performance, XGBoost is a scalable and flexible software framework that supports gradient boosting techniques. It is particularly popular due to its ability to handle large-scale and sparse data, making it a preferred choice for structured or tabular data across a range of classification and regression tasks.XGBoost provides a robust solution for data scientists aiming to achieve state-of-the-art results on predictive modeling challenges. It features several advanced capabilities such as handling missing values, tree pruning, and regularized boosting techniques which help to prevent overfitting and improve model performance.