Chapter 1, High-Performance Machine Learning – NumPy, features your first machine learning algorithm with support vector machines. We distinguish between classification (what type?) and regression (how much?). We predict an outcome on data we have not seen.
Chapter 2, Pre-Model Workflow and Pre-Processing, exposes a realistic industrial setting with plenty of data munging and pre-processing. To do machine learning, you need good data, and this chapter tells you how to get it and get it into good form for machine learning.
Chapter 3, Dimensionality Reduction, discusses reducing the number of features to simplify machine learning and allow better use of computational resources.
Chapter 4, Linear Models with scikit-learn ...
