From the course: Tableau and R for Analytics Projects
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Explore support vector machine algorithms
From the course: Tableau and R for Analytics Projects
Explore support vector machine algorithms
- [Instructor] In the previous chapter, we looked at logistic regression as a means of predicting whether a customer, patient, or other entity would be more likely than not to be part of a class of objects. In this chapter, we'll take a look at support vector machines, which also classify objects into categories, but through a different methodology. If you're looking at a two-dimensional graph, then you might want to separate items into two different categories based on a straight line That is a linear application of a support vector machine, or SVM. You can also have curved lines, and that is a nonlinear case. In this chapter, we'll focus on a straightforward linear, either-or case, so we're looking for a binary classification and the data will be fairly straightforward.
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