Feature Engineering

This chapter covers various feature engineering topics while providing source code examples so that you can gain proficiency with these techniques and apply them to real-world predictive modeling scenarios. We’ll be using the house prices dataset as a practical illustration. By the end of this chapter, you’ll acquire not only theoretical knowledge but also practical skills to navigate the world of data processing.

In this chapter, we’ll cover the following topics:

• A review of exploratory data analysis
• Performing feature engineering on the house prices dataset
• Common feature engineering techniques for numerical features
• Common feature engineering techniques for temporal features
• Common feature engineering techniques for categorical features

Split your dataset before performing feature engineering to avoid inflating model accuracy

As you learned in Chapter 6, it’s critical to divide the dataset into...