Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
suitable for real-world problems, where data are not always completely separable with a straight line. Separating hyperplanes The main goal of an SVM is to define an hyperplane that separates the points in two different classes. The hyperplane is also called separating hyperplane or decision