INTRODUCTION TO SCIKIT-LEARN
Since this book is about data visualization, you might be wondering why this chapter contains an introduction to Scikit-learn (also known as Sklearn ). The reason is straightforward: the easy introduction to some Scikit-learn functionality is possible without a more formal learning process. In addition, this knowledge will bode well if you decide to delve into machine learning (and perhaps this section will provide additional motivation to do so).
However, a thorough understanding of Scikit-learn involves significantly more time and effort, especially if you plan to learn the details of the Scikit-learn machine learning algorithms. On the other hand, if you are not interested in learning about Scikit-learn at this point in time, you can skip this section and perhaps return to it when you are interested in learning this material.
Scikit-learn is Python’s premier general-purpose machine learning library, and its home page is here:
