Lecture 5: Regression Models
In this lecture, we will discuss regression problems. We will start by reviewing linear models, then move on to nonlinear extensions, and finally address an important issue in machine learning: the overfitting problem. It covers the following things:
Linear Regression Model
Non-linear Regression Model
Overfitting Problem
Lecture notes:
Reading Guidelines: You can read the book…
For lecture 5, it is recommended that you read the following sections in the textbook.
linear regression: Sections 3.1 and 3.2
Polynomial regression: Sections 7.1
Overfitting problems: pages 22-23
Discussion
Slides for discussion: click here
Video of discussion: click here
Lab:
Laboratory: Entrance
Solutions: click here
R file: download here.
