Feature Engineering Bookcamp

2 The basics of feature engineering

This chapter covers

• Understanding the differences between structured and unstructured data
• Discovering the four levels of data and how they describe the data’s properties
• Looking at the five types of feature engineering and when we want to apply each one
• Differentiating between the ways to evaluate feature engineering pipelines

This chapter will provide an introduction to the basic concepts of feature engineering. We will explore the types of data we will encounter and the types of feature engineering techniques we will see throughout this book. Before jumping right into case studies, this chapter will set up the necessary underpinnings of feature engineering and data understanding. Before we can import a ...