Machine learning and statistics with python

                                       Introduction SVM or support vector machine is one of the most dominant classification algorithms in the traditional machine learning. svm is a supervised classification algorithm which mainly works in a two-group classification algorithm; by projecting the features into a linear space; and then by drawing a hyperplane between the two classes thereby classifying. It is okay if you don't understand the terminologies I just used, as in the next few sections we will go through basic and advanced concepts of svm and by the end of this article, you will be confident to work with svm model. The basics of SVM: SVM is the abbreviation for support vector machine. In SVM is that in this algorithm, we try to find a hyperplane dividing the two classes of data with maxim...