Analyze and Predict Card Purchases Using R

By the end of this course, learners will be able to analyze customer data, evaluate predictive features, build and optimize classification models, and assess model performance to accurately predict card purchase behavior using R. Learners will develop practical skills in logistic regression and decision tree modeling while applying industry-relevant evaluation techniques. This hands-on, project-based course guides learners through a complete predictive modeling workflow using a real-world card purchase use case. Starting with data import and feature assessment using Information Value, learner…