Supervised Learning

In this third part of the book, our focus will be on the the following chapters:

• In ?sec-basics-supervised-learning we will get to understand the basics of supervised learning from a theoretical and practical standpoint.

• In 10  Linear Regression we will dive into linear regression from a theoretical and practical standpoint.

• In 11  K-Nearest Neighbour Regression we will understand the k-Nearest Neighbours (kNN) regression algorithm as a classic method for nonlinear data.

• In 12  Classification Using Logistic Model we will dive into classification models.