SVM stands for support vector machine. They are used for classification and prediction tasks. SVM consists of a separating plane that discriminates between the two classes of variables. This separating plane is known as hyperplane. Some of the kernels used in SVM are :
* Polynomial Kernel
* Gaussian Kernel
* Laplace RBF Kernel
* Sigmoid Kernel
* Hyperbolic Kernel
