Tree-based Machine Learning Models
11 repos
Python libraries and educational resources for building, visualizing, and understanding tree-based machine learning models including decision trees, random forests, gradient boosting, and XGBoost. The cluster spans practical implementations (scikit-learn, LightGBM, XGBoost), interactive visualization tools for model interpretation, automated machine learning frameworks, and curated paper collections documenting advances in ensemble methods and boosting algorithms.
Python · 8
Go · 1
JavaScript · 1
Jupyter Notebook · 1
xgboost ·17,978
machine-learning ·17,289
lightgbm ·14,823
scikit-learn ·13,970
random-forest ·12,490
python ·9,780
data-science ·8,967
decision-tree ·6,815
catboost ·6,815
statsmodels ·5,936
