https://github.com/zuzann18/credit-risk-classification
End-to-end machine learning project for predicting loan defaults on the HMEQ home equity loan dataset. Includes data preprocessing, EDA, feature engineering, model training (Logistic Regression, Random Forest, XGBoost), hyperparameter tuning, model comparison, SHAP-based interpretability, and business recommendations
https://github.com/zuzann18/credit-risk-classification
imbalanced-data logistic-regression mice random-forest-classifier shap smote xgboost
Last synced: 4 months ago
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End-to-end machine learning project for predicting loan defaults on the HMEQ home equity loan dataset. Includes data preprocessing, EDA, feature engineering, model training (Logistic Regression, Random Forest, XGBoost), hyperparameter tuning, model comparison, SHAP-based interpretability, and business recommendations
- Host: GitHub
- URL: https://github.com/zuzann18/credit-risk-classification
- Owner: zuzann18
- License: mit
- Created: 2025-05-14T10:50:42.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-05-14T18:41:54.000Z (6 months ago)
- Last Synced: 2025-05-22T00:18:49.304Z (5 months ago)
- Topics: imbalanced-data, logistic-regression, mice, random-forest-classifier, shap, smote, xgboost
- Language: HTML
- Homepage:
- Size: 2.76 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0