GitHub - vaibhav7079/Credit-Card-use-prediction: Credit Card use prediction using RandomForest Regressor.

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Credit Card use prediction using RandomForest Regressor.

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Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
CreditConsumptionData.xlsx		CreditConsumptionData.xlsx
CustomerBehaviorData.xlsx		CustomerBehaviorData.xlsx
CustomerDemographics.xlsx		CustomerDemographics.xlsx
EDA-Predict Credit Consumption of Customer For Leading Bank.ipynb		EDA-Predict Credit Consumption of Customer For Leading Bank.ipynb
Model-Predict Credit Consumption of Customer For Leading Bank.ipynb		Model-Predict Credit Consumption of Customer For Leading Bank.ipynb
ReadMe.txt		ReadMe.txt

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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).