Introduction to CatBoost
CatBoost is a powerful open-source library designed for gradient boosting on decision trees. It is particularly known for handling categorical features very effectively.
Why choose CatBoost?
- Automatic handling of categorical data
- Fast and scalable - suitable for large datasets
- State-of-the-art accuracy
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