In this video, we’ll give an Introduction to Support Vector Machines. we’ll implement Support Vector Machines using SciKit-Learn Library!
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.

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Support Vector Machine (SVM) Algorithm Tutorial | Support Vector Machine Explained
19.55 GEEK