Machine learning (SVM)
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It took me a while to totally understand the concept of Support vector Machine, which is mainly used for supervised data to classify or regression . In short it's a line(for (2D)) or hyperplane(n_dimension) that separates the plot(or points in the plane) in two groups with the help of two additional plane parallel to the main hyperplane.The distance between two parallel plane to the main plane or line known as "epsilon". The more the "epsilon" value ,the better the Model.