Introduction to Scikit-Learn

Learning Objectives

By the end of this chapter, you will be able to:

  • Describe scikit-learn and its main advantages
  • Use the scikit-learn API
  • Perform data preprocessing
  • Explain the difference between supervised and unsupervised models, as well as the importance of choosing the right algorithm for each dataset

This chapter gives an explanation of the scikit-learn syntax and features in order to be able to process and visualize data

Introduction

Scikit-learn is a well-documented and easy-to-use library that facilitates the application of machine learning algorithms by using simple methods, which ultimately enables beginners to model data without the need for deep knowledge of the math behind the algorithms. ...

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