What this book covers
Chapter 1, Introduction to Feature Engineering, is an introduction to the basic terminology of feature engineering and a quick look at the types of problems we will be solving throughout this book.
Chapter 2, Feature Understanding – What's in My Dataset?, looks at the types of data we will encounter in the wild and how to deal with each one separately or together.
Chapter 3, Feature Improvement - Cleaning Datasets, explains various ways to fill in missing data and how different techniques lead to different structural changes in data that may lead to poorer machine learning performance.
Chapter 4, Feature Construction, is a look at how we can create new features based on what was already given to us in an effort to inflate ...
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