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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