Chapter 1 Introduction
Chapter 2 Fancy Tricks with Simple Numbers
Chapter 3 Basic Feature Engineering for Text Data: Flatten and Filter
Chapter 4 The Effects of Feature Scaling: From Bag-of-Words to Tf-Idf
Chapter 5 Counts and Categorical Variables: Counting Eggs in the Age of Robotic Chickens
Chapter 6 Dimensionality Reduction: Squashing the Data Pancake with PCA
Chapter 7 Non-Linear Featurization and Model Stacking
Chapter 8 Automating the Featurizer: Image Feature Extraction and Deep Learning
Appendix A Linear Modeling and Linear Algebra Basics