Support Vector Machine, Machine Learning, Artificial Intelligence, Data Science, Ambarish 224.
is a method for classifying data when the classes can be separated by a single, linear boundary. The main goal of linear SVM classification is to find the maximum margin hyperplane that separates the classes in the dataset. A. Definition of the maximum margin hyperplane and the margin: The maximum