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model-interpretability

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aimaster-dev / default_loan_prediction

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This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with predictive analytics, model evaluation, explainability (SHAP), and deployment readiness.

flask finance automation vuejs sklearn fintech xgboost classification lightgbm banking-applications fraud-detection roc-auc credit-risk loan-prediction-analysis shap explainability model-interpretability loan-prediction
  • Updated May 29, 2025
  • JavaScript

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