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What is kernel SVM?
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Answer / Navin Kumar Bansiwal
Kernel Support Vector Machines (SVM) is a type of SVM that can handle non-linearly separable data by transforming the original data into higher dimensions where it becomes linearly separable. This is achieved through the use of a kernel function, which maps the input space to a high-dimensional feature space.
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