anonymized loan applications USA_ETL

Bank Customer Dataset for Personal Loan Prediction This dataset contains demographic, financial, and behavioral data of 5,000 bank customers collected during a marketing campaign aimed at offering personal loans. The primary objective is to predict whether a customer accepted the personal loan offer (personal_loan), making this a supervised binary classification problem. The dataset includes 14 features such as age, income, credit card usage, education level, mortgage value, and account ownership information. It can be used for machine learning tasks such as classification modeling, feature selection, customer segmentation, and marketing analytics.