"Credit Risk Modeling using Machine Learning"

Credit risk modeling using machine learning involves applying advanced algorithms to predict the likelihood that a borrower will repay a loan. By analyzing historical data—such as income, credit history, and financial behavior—machine learning models identify patterns and assess risk levels more accurately than traditional methods. This helps lenders make informed decisions, minimize losses, and offer appropriate credit terms. Essentially, it’s a data-driven approach that improves the ability to foresee potential defaults, enabling more efficient and responsible lending practices.