🍃 What is CatBoost? 🐱
CatBoost is a high-performance open-source library for gradient boosting on decision trees. It is designed to handle categorical features better than other methods, and can provide a powerful tool for data scientists in both the academy and industry.
✨ Features of CatBoost
- Support for categorical features
- Efficient model training
- Robust against overfitting
- GPU and CPU training support
- Easy-to-use interface
📚 Learn More
Discover in-depth tutorials and guides on how to use CatBoost effectively across different domains by visiting our tutorial page.
Explore various real-world applications of CatBoost in diverse industries by heading to our applications section.