I have a question about feature scaling.
I was wondering why you talked about mean normalization and Z score normalization and not min-max normalization ?
Is mean normalization better than min-max normalization for regression problems ?
This is an introductory course. It doesn’t cover all possible methods in depth.
Min-max is also a useful method.
To add to @TMosh point, min-max scaling is covered briefly at the beginning of the ‘Feature scaling part 2’ lecture: