A decision tree classification model based on bank marketing data

This project explores customer subscription behavior in banking marketing campaigns using the UCI Bank Marketing dataset. It applies machine learning models to predict which customers are likely to subscribe to a term deposit and identifies key demographic, financial, and campaign-related factors that influence customer decisions.