Support Vector Machine, Support Vector Regression, Support Vector Classifier, Support Vectors, Machine Learning.
Definition: The objective of the SVM algorithm is to find the best hyperplane that separates the input data into different classes. The hyperplane is chosen in such a way that it maximizes the margin between the closest points of the two classes. Kernel Selection: The kernel function is used to