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The leading bank aims to predict credit card consumption for customers based on demographic and behavioral data, focusing on predicting the average spend for the next three months. Key objectives include: Conducting data exploratory analysis on customer demographics and behavior. Building predictive models to estimate credit card consumption for customers with missing values. Validating models using Root Mean Square Percentage Error (RMSPE).
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Credit Card use prediction using RandomForest Regressor.
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