Credit default prediction using XGBoost (AUC-ROC 0.95) with SHAP interpretability for explainable AI
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Sep 30, 2025 - Jupyter Notebook
#
credit-risk-classification
Here are 4 public repositories matching this topic...
End-to-end ML pipeline for credit risk classification on the German Credit Data dataset: EDA, feature engineering, and model tuning (Logistic Regression, Decision Tree, Random Forest, XGBoost) with MLflow experiment tracking.
python data-science machine-learning sklearn xgboost hyperparameter-tuning mlflow credit-risk-classification
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Aug 14, 2026 - Jupyter Notebook
Credit Risk Classification
pandas logistic-regression resampled-data confusion-matrix loans lending classification-report imbalanced-learning credit-risk randomoversampler data-testing logistic-regression-model target-classification credit-risk-classification data-training
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Aug 6, 2024 - Jupyter Notebook
A collection of my data projects, showcasing my expertise in analytics, machine learning, and data-driven decision-making.
ab-testing regression-models churn-prediction classification-model clustering-analysis machine-learning-projects data-science-projects data-portfolio credit-risk-classification
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Feb 9, 2025
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