Support Vector Machines (SVM) and its Python implementation

The support vector machines algorithm is a supervised machine learning algorithm that can be used for both classification and regression. In this article, we will be discussing certain parameters concerning the support vector machines and try to understand this algorithm in detail. For understanding, let us consider the SVM used for classification. The following figure shows the geometrical representation of the SVM classification. After taking a look at the above diagram you might notice that the SVM classifies the data a bit differently as compared to the other algorithms.