Gradient Descent For Machine Learning (Practice Problem) | MATLAB Visualization

Prerequisite: Gradient Descent in Linear Regression | MATLAB https://www.matlabcoding.com/2020/05/gradient-descent-in-linear-regression.html

%Code:

clc

clear all

close all

format long

figure;

pause(3);

a=[32.502345269453031,31.70700584656992

53.426804033275019,68.77759598163891

61.530358025636438,62.562382297945803

47.475639634786098,71.546632233567777

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25.128484647772304,53.454394214850524];

x=a(:,1);

y=a(:,2);

m=0;

c=0;

sa=[];

plot(x,y,'bo','linewidth',3);

hold on;

axis([10 80 10 150]);

for h=1:6000

predicted=m*x+c;

s=y-predicted;

w=((sum(-2*x.*s))/length(x))*0.0000001;

m=m-w;

sa=[sa m];

w=((sum(-2*s))/length(x))*0.0000001;

c=c-w;

 e=m*x+c;

    rs=plot(x,e,'k','linewidth',3);

    drawnow limitrate

    axis([10 80 10 150]);

    if(h~=6000)

    delete(rs);

    end

end

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