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4.a. Describe the steps involved in training an SVM model.b. Given a dataset for a binary classification problem:Class 1 (Positive Class): X 1=[1,2,3,4,5] X 2=[2,3,4,5,6]Class 2 (Negative Class): X1=[8,9,10,11,12] X2=[9,10,11,12,13]i. Visualize the dataset on a 2D plane.ii. Use a linear SVM to find the optimal hyperplane that separates the two classes. Identify the support vectors.

4.a. Describe the steps involved in training an SVM model.b. Given a dataset for a binary classification problem:Class 1 (Positive Class): X 1=[1,2,3,4,5] X 2=[2,3,4,5,6]Class 2

VIDEO ANSWER: Here are the steps to solve the perception learning algorithm. This is given in class. Training samples are given with class 11 plus 1 minus 1 mi…

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