Credit risk assessment is a crucial task for financial institutions to evaluate the creditworthiness of loan applicants. This data science project aims to develop a predictive model that can assist a financial institution in assessing the credit risk of potential borrowers. The project involved data collection, preprocessing, model development, and evaluation to create a robust credit risk analysis tool.