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Artificial Intelligence with Python - Second Edition
book

Artificial Intelligence with Python - Second Edition

by Alberto Artasanchez, Prateek Joshi
January 2020
Beginner to intermediate content levelBeginner to intermediate
618 pages
13h 57m
English
Packt Publishing
Content preview from Artificial Intelligence with Python - Second Edition

5

Classification and Regression Using Supervised Learning

In this chapter, we are going to learn about classification and regression of data using supervised learning techniques. By the end of this chapter, you will have a better understanding of these topics:

  • Differences between supervised and unsupervised learning
  • Classification methods
  • Data preprocessing methods
  • Label encoding
  • Logistic regression classifiers
  • The Naïve Bayes classifier
  • Confusion matrixes
  • Support Vector Machines and SVM classifiers
  • Linear and polynomial regression
  • Single-variable and multivariable linear regressors
  • Estimating housing prices using Support Vector Regressors

Supervised versus unsupervised learning

It's not hard to see from looking at the popular press that one ...

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Publisher Resources

ISBN: 9781839219535Supplemental Content