awesome_catboost
github.com/valeman/awesome_catboost ↗The repository to showcase the best framework for tabular data - the Awesome CatBoost
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Installation instructions →What's inside
Articles
- 5 Cute Features of CatBoost - Other boosting algorithms don't have these features
Other boosting algorithms don't have these features
- CatBoost: Gradient Tree Boosting for Recommender Systems, Classification and Regression
- CatBoost Hyperparameter Tuning Guide with Optuna
- CatBoost Secrets: How It Handles Categorical Columns and Tree Growth
- CatBoost vs. Light GBM vs. XGBoost
- How CatBoost encodes categorical variables?
Papers
- A Closer Look at Deep Learning on Tabular Data
- A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets
- CatBoost: gradient boosting with categorical features support
- CatBoost: unbiased boosting with categorical features
- When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Videos
- Anna Veronika Dorogush - CatBoost - the new generation of Gradient Boosting
CatBoost - the new generation of Gradient Boosting
- CatBoost Part 1: Ordered Target Encoding
- Mastering CatBoost
- The Strategic Showdown CatBoost vs XGBoost vs LightGBM
- XGBoost ❌ LightGBM ❌ CatBoost ❌ Scikit-Learn GRADIENT BOOSTING Performance Compared
- Yandex Catboost: Open-source Gradient Boosting Library
Showing a sample of 28 resources. View the full list on GitHub →