Code Kata is a machine-learning practice repository focused on Kaggle competitions. It pairs hands-on competition notebooks with study material on classical algorithms, built on scikit-learn, the gradient-boosting trio (XGBoost / CatBoost / LightGBM), and Optuna for tuning.
This project is licensed under the MIT License. See the LICENSE.md file for details.