XGBoost is an open-source gradient boosting library for data science tasks.
XGBoost is an open-source library for gradient boosting, a powerful machine learning technique used for data science tasks such as classification, regression, and ranking. It is designed to provide high performance, scalability, and accuracy. XGBoost is used in a wide range of applications, including recommendation systems, credit scoring, and time series forecasting. It is optimized for speed and memory efficiency, and is suitable for both large and small datasets.
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