Feature Engineering Made Easy

Feature construction – can we build it?

While in previous chapters we focused heavily on removing features that were not helping us with our machine learning pipelines, this chapter will look at techniques in creating brand new features and placing them correctly within our dataset. These new features will ideally hold new information and generate new patterns that ML pipelines will be able to exploit and use to increase performance.

These created features can come from many places. Oftentimes, we will create new features out of existing features given to us. We can create new features by applying transformations to existing features and placing the resulting vectors alongside their previous counterparts. We will also look at adding new features ...