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Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R by Daniel D. Gutierrez

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Chapter 5 Regression

In this chapter we take the first steps toward applying machine learning methods toward the solution of data science problems. Supervised learning is the most common type of machine learning, often associated with predictive analytics. In demonstrating supervised learning techniques, we’ll take a look at many of the most common algorithms such as simple linear regression, multiple linear regression, and polynomial regression. Regression is useful for predicting quantitative values such as sales revenue, home price, rate of inflation, etc. The method has been around for a very long time, and although studying ...

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