Improving credit risk model using Machine learning techniques. We use a host of ml models and neural network to solve the issue.
data-science machine-learning-algorithms data-visualization credit-card-fraud neural-networks logistic-regression confusion-matrix feature-engineering lime credit-risk etl-pipeline shap auc-roc-score xgboost-classifier model-training-and-evaluation data-preprocessing-and-cleaning peformance-evaluation
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Updated
Jun 18, 2025 - Jupyter Notebook