This page contains a moderated list of examples, tutorials, articles about CatBoost use cases. It is inspired by awesome-machine-learning.
We will be happy to add your success story using CatBoost to this list. Send us a pull request if you want to include your case here.
- The Large Hadron Collider beauty (LHCb) experiment uses CatBoost.
- Careem, the leading ride-hailing platform for the greater Middle East, uses CatBoost for their Destination Prediction Service.
- CatBoost is used in Kaggle Kernels to solve data science challenges.
- auto_ml - Automated machine learning for production and analytics. Lets you focus on the fun parts of ML, while outputting production-ready code, and detailed analytics of your dataset and results. Includes support for CatBoost and other ml libraries.
- mljar-supervised - An Automated Machine Leaning (AutoML) open-source python package for binary and mutliclass classification and regression ML tasks. It is using CatBoost algorithm among many others. It provides explanations for CatBoost models: feature importance computed by permutation method and SHAP explanations: feature importance, dependency plots and decision plots (computed with CatBoost internals).