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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 6 Classification

In this chapter we continue exploring the use of machine learning methods for the solution of data science problems. As an extension to Chapter 5, where we studied regression methods, now we’ll turn our attention to another very important class of supervised learning: classification. In linear regression, we assume that the response variable (what is to be predicted) is quantitative. But in many data science problems, the response variable is qualitative—also known as a categorical variable. For example, gender is qualitative, taking on values of male and female. The process of predicting qualitative responses ...

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