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Credit-Compliance-Probability-Model

Developed a logistic regression model to estimate the probability of credit compliance for loan applicants, contributing to effective credit risk management. Validated the model through residual analysis, CAP and ROC curves, highlighting its utility in rapid assessment and decision-making for credit applications

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