Getting Started with CatBoost
CatBoost is a powerful gradient boosting library that works well with categorical features. It's easy to use and integrates smoothly with many data science workflows.
Key Features
- Support for categorical data without preprocessing 👌
- Fast training and predictions ⚡
- Robust against overfitting 🛡️
Basic Steps
- Install CatBoost.
- Prepare your dataset.
- Train your model.
- Evaluate and tune your model.
Resources
Check out the official CatBoost documentation for more detailed guides and advanced features!