Machine Learning Tutorial 7 - Support Vector Machines (SVM) in Scikit-learn

In this video, we’ll implement Support Vector Machines using SciKit-Learn Library! SVM are supervised learning models with associated learning algorithms that analyse data used for classification and regression analysis. Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier. Reference: