Hey, I highly appreciate your time and help. So to summarize, We have some data for house size, bedrooms and price. as x1, x2, and y.
we normalize the data, and apply gradient descent so we get theta0, theta1 and theta2.
so, we will apply this thetas on our toBePredicted values for house size and bedrooms? this doesn’t make sense for me, as the normalization process will results different theta, if we had (for example) to divide the x2 values by 4 (just for ex, I understand normalization from andrew’s course) so this will results different theta2 than the one we got if we done normalization by dividing by 4.5 for example.
So, how should I use the normalized data based theta on real to be predicted data, what I want to say that different normalization will results different theta matrix.
