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                        Support Vector Machines (SVM) are a very powerful class of supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. It presents one of the most robust prediction methods, based on
                        the statistical learning framework (VC Theory). It is indigenously a non-probabilistic binary linear classifier, but can also perform efficient non-linear classification through the Kernel Trick.
     