In this video, we’ll give an Introduction to Support Vector Machines! SVM are supervised learning models with associated learning algorithms that analyse data used for classification and regression analysis. Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier. Blog and Videos for in-depth understanding : 1. 2. 3. About Rounak Vyas: Website - LinkedIn - GitHub ... #ProgrammingKnowledge #ml #so #machine_learning #artificial_intelligence #Python #linear_regression #Scikit-Learn #Logistic_Regression #Machine_Learning_Tutorial 20191211 BTYi4bTPfug
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