From the course: Python: Working with Predictive Analytics (2019)

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Support Vector Regression (SVR)

Support Vector Regression (SVR) - Python Tutorial

From the course: Python: Working with Predictive Analytics (2019)

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Support Vector Regression (SVR)

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- [Instructor] We are again in the modeling section of the roadmap. And now, let's discuss the Support Vector Regression. This is the third model out of five models I'll show you in this course. Imagine a bowling area. Left lane is allowed to use only blue and right lane is only allowed to use green balls. You and your friends just arrived to start your game in the middle lane. That middle lane is acting like a separator between the left and the right lanes. There is a linear separation here. Let's draw that bowling lane-like separation on the graph here. It's main goal is to create an optimal margin which can separate the maximum amount of data points. This method was first used for the classification problems. Then later it was also applied to regression problems to predict numerical data. The plane which separates two classes is called a hyperplane. The data points which are sitting closest to the hyperplane are called the support vectors. The dashed lines are called margins. If we…

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