Credit Risk Analysis and Model Prediction for Personal Loan Applications

In this project, I performed a comprehensive analysis of a loan application dataset to create a model predicting the probability of loan default. The dataset includes applicant information such as age, income, employment background, and loan-specific details like loan amount, interest rate, and purpose. The goal was to develop a model that would enable financial institutions to evaluate credit risk more precisely, helping to reduce potential losses from defaults.

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