Support vector machines (SVM) are a supervised machine learning algorithm useful for complex data sets that have nonlinear decision boundaries. SVM is a binary classifier, meaning it divides the data into two groups and finds the best possible hyperplane that maximally separates the data points of different classes. The hyperplane is defined by a subset … Continue reading Support Vector Machine