Matlab, Gradient Descent, Linear Regression, Octave, Machine Learning.
matrix arithmetic calculation. % load dataset ds = load(“realestat3.txt”) % split x/y n = size(ds,2)-1; x = ds(:,1:n); y = ds(:,n+1); m = length(y); % normalise [x, maxs, mins] = normalize(x, n); % add column with ones — help hypothesis xo = [ones(m,1),x]; Step 2: Normalize Normalising is easily