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  • Code: clc clear all close all warning off data=readtable('Social_Network_Ads.csv'); stand_age=(data.Age-mean(data.
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Created Code: clc clear all close all warning off x=[-100 -100 100 100]; y=[100 -100 -100 100]; z=[0 0 0 0]; fill3(x,y,z,'g'); xlim([-100 100]) ... A support vector machine (SVM) is a popular machine learning technique that delivers highly accurate, compact models. SVM can only produce linear boundaries between classes

Dataset & Problem Statement: https://www.kaggle.com/rakeshrau/social-network-ads Code : clc clear all close all warning off ...

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