Chapter 1, The Realm of Supervised Learning, covers various machine learning paradigms that will help you to understand how the field is divided into multiple subgroups. This chapter briefly discuss the differences between supervised and unsupervised learning, along with the concepts of regression, classification, and clustering. We will learn how to preprocess data for machine learning. We will discuss regression analysis in detail and learn how to apply it to a couple of real-world problems, including house price estimation and bicycle demand distribution.
Chapter 2, Constructing a Classifier, shows you how to perform data classification using various models. We will discuss techniques including logistic regression ...
