We will use multiple models to classify customer purchasing behavior at BBBC. Our models look to better predict the likelihood of success for the book company’s direct marketing department as they attempt to move away from mass marketing campaigns and better allocate their resources. We will use Logistic Regression, RandomForest, and SVM modeling approaches to predict whether a customer will purchase a book, The Art History of Florence, after receiving an informative brochure about the book.

Assignment # 8 Spring 2021

An assignment applying tree based methods to various datasets

Homework assignment and exploration of boosted and bagged techniques

Logistic Regression Exercises from the ISLR textbook