Denis Burakov’s Post

While XGBoost and LightGBM get most of the attention, CatBoost quietly solves some of the toughest tabular problems. In this new Medium article, I share lessons learned from using CatBoost in real-world risk modeling projects: • Explainability • Built-in feature statistics and selection • Text & embeddings support • CatBoost with MLflow in SageMaker 📘 Read it here → https://lnkd.in/dCnwZ3tj  #DataScience #MachineLearning #CatBoost #Python #ExplainableAI

Nikos G.

Data Science Tech Lead at Satalia

1mo

CatBoost, in my experience is much slower.

Abdul A.

Servant | Strategist | Pragmatist | Skeptical Empiricist

1mo

Thanks for sharing this

Curtis Raymond, MMA

Enterprise Data, Analytics & AI @ Priceline | Master of Management Analytics

1mo

This is awesome!! Thanks for sharing 🔥

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