Predicting Loan Defaults: Machine Learning in Banking

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This coursework focuses on developing a predictive model for loan defaults by analyzing financial risk indicators and evaluating different models for optimal results. The solution involves implementing a Random Forest for precision and Logistic Regression for interpretability. It recommends integrating the model within an approval system, with periodic retraining and budget approval from senior management. Addressing data quality, compliance, and integration challenges are critical. Further...