The goal of this course is to develop a programme that can forecast the likelihood of card purchases. A brief explanation of the project's goal is provided in the first section.

The course's second half, which is entirely practical, is broken down into 12 subtopics: IV Calculation, Plotting Variables, Splitting, Building Logistic Models, Making Oprimal Models, Making Lift Charts for Training Sets, Checking Model Performance, Model Performance in Test Sets, Saving Model in R, Fitting Decision Tree Models, and Prediction of Decision Trees.

Course Duration:-2h 31m