So you must already have gone through, Logistic Regression . The assumption we make in Logistic Regression is that the data should be linear separable. Let’s talk about another simple and elegant algorithm, SVM(Support Vector Machine).SVM can be used both in case of Regression and Classification.
Support Vector Machine is mostly used in classification tasks. The objective/ key idea of a SVM classifier is to find a hyperplane which classifies all the points distinctly in a n-dimensional space( n corresponds to number of features).Let’s see the Geometric Intuition of SVM
Here we will be considering a two class…
Data science enthusiast | Machine Learning engineer | Data Analyst|Software Developer