Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
we can consider we have given one dimension data and it can be defined as y=x and we can assume we have used a function f(x)=x², here x² is the kernel function. After applying this kernel function we have divided the data points using a line. When the data is two dimensional the hyperplane is a