This assignment will look at customer churn data from several telecommunication companies. The goal is to determine what makes a customer more likely or less likely to churn so these companies can understand how to best retain customers. Supervised programming techniques will be utilized in the model building process, followed by ROC and Bagging AUC analysis to ultimately determine the final model.

Final Project

PM10

CO

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