Chapter 4: Exploring Classification with TPOT
In this chapter, you'll continue going through hands-on examples of automated machine learning. You will learn how to handle classification tasks with TPOT in an automated manner by going through three complete datasets.
We will cover essential topics such as dataset loading, cleaning, necessary data preparation, and exploratory data analysis. Then, we'll dive deep into classification with TPOT. You will learn how to train and evaluate automated classification models.
Before training models automatically, you will see how good models can be obtained with basic classification algorithms, such as logistic regression. This model will serve as the baseline that TPOT needs to outperform.
This chapter will cover the following topics:
- Applying automated classification modeling to the Iris dataset
- Applying automated classification modeling to the Titanic dataset
