Application of Machine Learning with R

Machine learning can be divided into Supervised Learning, Unsupervised Learning, and Reinforcement Learning. This chapter introduces the application of various methods for regression, classification, and clustering. Furthermore, it explains how Unsupervised Learning helps in the creation of association rules (shopping basket analysis), which then serve as the basis for recommendation systems and the optimization of cross-selling procedures.