Chapter 3: Exploring Regression with TPOT
In this chapter, you'll get hands-on experience with automated regression modeling through three datasets. You will learn how to handle regression tasks with TPOT in an automated manner with tons of practical examples, tips, and advice.
We will go through essential topics such as dataset loading, exploratory data analysis, and basic data preparation first. Then, we'll get our hands dirty with TPOT. You will learn how to train models in an automated way and how to evaluate those models.
Before training models automatically, we will see how good performance can be obtained with basic models, such as linear regression. These models will serve as a baseline that TPOT needs to outperform.
This chapter will cover the following topics:
- Applying automated regression modeling to the fish market dataset
- Applying automated regression modeling to the insurance dataset
- Applying automated regression modeling to the vehicle...