Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
can observe, kernel function converts the non linear boundary in the input space in to a linear boundary in the feature space. In order to understand this practically we can use one dimension dataset and apply kernel function to it. applying kernel function to one dimension data In the above image