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# CatBoost: Gradient Boosting for Categorical Data

**[Medium](https://daily.dev/sources/medium_js)** · 1 min read · 0 upvotes · 0 comments

## Summary

CatBoost is a gradient boosting algorithm that, like XGBoost, builds decision trees sequentially. Its key differentiator is native handling of categorical features through built-in encoding techniques, eliminating the need for manual preprocessing. It also incorporates mechanisms to reduce overfitting.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@baidikmazumdar789/catboost-gradient-boosting-for-categorical-data-5c4f0ec02694>

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