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Anna Veronika Dorogush: Mastering gradient boosting with CatBoost | PyData London 2019
How to find optimal parameters for CatBoost using GridSearchCV for Regression in Python
GridSearchCV | Hyperparameter Tuning | Machine Learning with Scikit-Learn Python
Create Your Own Loss Metric - Custom Evaluation Metrics in Catboost
Hypertune the parameters of catboost classifier using GridsearchCV and trained on pulsar star data.
694: CatBoost: Powerful, efficient ML for large tabular datasets — with Jon Krohn (@JonKrohnLearns)
The Ultimate Guide to Hyperparameter Tuning | Grid Search vs. Randomized Search
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Last Updated: August 17, 2026
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