Part 2. Classification

 

Now that we’ve covered some basic machine learning terminology, and your tidyverse skills are developing, let’s finally start learning some practical machine learning skills. The rest of the book is split into four parts:

  • Classification
  • Regression
  • Dimension reduction
  • Clustering

Within each of these parts, each chapter will focus on a different algorithm (or algorithms). Each chapter will start by explaining the theory behind how the algorithm learns, in a graphical way, and the rest of the chapter turns our knowledge into skills by applying the algorithm to a real dataset.

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