Bank Loans

This project uses logistic regression to predict whether bank loan applications will be approved based on applicant data. The dataset is ready-to-use and includes features like income, credit history, and loan amount. Users can experiment with model evaluation metrics such as accuracy, precision, recall, and ROC-AUC.