SVM is a supervised ML algorithm used primarily for classification tasks, however, it can be used for regression problems as well.
Support Vector Machines
What is SVM?
SVM is a classifier that works on the principle of separating hyperplanes. Given a training dataset, the algorithms find a hyperplane that maximizes the separation of the classes and uses these partitions for the prediction of a new dataset. The hyperplane is a subspace of one dimension less than its ambient plane. This means the line is a hyperplane for a two-dimensional dataset.
Where is SVM used?
SVM...
