This project focuses on predicting customer churn for a bank using machine learning. By analyzing features like credit score, age, balance, and geography, the model identifies at-risk customers, uncovers key churn drivers, and provides insights to help the bank implement targeted retention strategies.
☆45Oct 12, 2025Updated last year
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