Nonlinear SVM Classification | Machine Learning from Scratch

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In previous blog, We read about Soft margin Classification. In this blog we will talk about Non Linear SVM Classification. Introduction Although linear SVM classifiers are efficient and work surprisingly well in many cases, many datasets are not even close to being linearly separable. One approach to handling nonlinear datasets is to add more features, … Read more

Soft Margin Classification | Machine Learning from Scratch

In previous blog, We read about Linear SVM. In this blog we will talk about soft margin classification. If we strictly impose that all instances be off the street and on the right side, this is called hard margin classification. There are two main issues with hard margin classification. First, it only works if the … Read more