Overview of CatBoost
CatBoost is a machine learning algorithm that uses gradient boosting on decision trees. It is available as an open source library.
Key features:
 | Training |  | Applying models |
 | Model analysis |  | Metrics |
 | Recovery |  | Visualization tools |
 | Exporting models |  | Educational materials |
| Training | | Applying models |
| Model analysis | | Metrics |
| Recovery | | Visualization tools |
| Exporting models | | Educational materials |