Chapter 3. Feature Engineering

This chapter discusses arguably the most important step in solving a machine learning problem. Feature engineering involves the preparation and representation of data on which the models can be trained. A good feature set is compulsory for the success of a modeling project. In this chapter, we are going to cover the following topics:

• Feature construction

• Feature extraction

• Feature selection

• Dimensionality reduction