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XGBoost Documentation — xgboost 3.0.1 documentation
Explore XGBoost's official documentation for setup guides, tutorials, and detailed info on this popular machine learning library and its many features.
Get started with XGBoost machine learning fast
This website is the official documentation hub for XGBoost, a widely used machine learning library. Here, you can find everything from installation instructions and parameter guides to in-depth tutorials and frequently asked questions, all designed to help you get the most out of XGBoost.
Whether you're new to gradient boosting or an experienced data scientist, the site offers clear examples and support for multiple programming languages, including Python, R, and Java. You'll also discover resources for distributed environments, GPU support, and tips for optimizing your machine learning workflows.
If you want to dive deeper, there are links to building XGBoost from source, exploring advanced features, and contributing to the project. It's a comprehensive resource for anyone looking to leverage XGBoost for fast, scalable machine learning.
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