Predicting Long-Term Deposit in Bank Marketing with Predictive Modeling

The purpose of this project is to establish a powerful prediction model to identify the most likely customers who will subscribe to long-term deposits. A Logistic regression model will be used in the project because of its wide application in the field of marketing management and its ability to discriminant analysis and classification. Besides, to validate the accuracy of prediction, we will compare between logistic regression model with a random forest model.

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