Chapter 1, How To Solve All Machine Learning Problems, introduces two classes of machine learning: regression and classification. By the end of this chapter, you should feel comfortable with the data structures used to build machine learning programs. Most machine learning algorithms are built based on the data structures introduced here. We are then going to introduce Go machine learning and get you up and running for further projects.
Chapter 2, Linear Regression – House Price Prediction, goes into a regression analysis on a real-life dataset on house pricing. We will start off by building the necessary data structures to perform such analyses, along with initial exploration of the dataset.
Chapter 3, Classification ...
