SVM (Support Vector Machine) Kernels Indepth Intuition And Practical Explanation
SVM (Support Vector Machine) Kernal: Implementation Using Sklearn- Machine Learning¶ SVM algorithms use a set of mathematical functions that are defined as the kernel. The function of kernel is to take data as input and transform it into the required form. Different SVM algorithms use different types of kernel functions. These functions can be different types. For example linear, nonlinear, polynomial, radial basis function (RBF), and sigmoid.