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.
python exploratory-data-analysis logistic-regression data-preprocessing datavisualization supervised-machine-learning random-forest-classifier gridsearchcv hyperparametertuning modelevaluation bankmarketing feature-importance-analysis customerconversion imbalanceddataset
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Updated
Feb 21, 2026 - Jupyter Notebook