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bankchurn

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This project analyzes customer data to predict bank churn and identifies factors that influence attrition. By examining attributes like age, income, gender, marital status, and card utilization, the analysis highlights trends such as higher attrition among customers aged 40-50, married individuals, and those with lower card usage. The goal is to pr

  • Updated Dec 18, 2024

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