Scaling, Normalization, Min Max.
is particularly crucial when dealing with features that have different baseline values. By centering, we eliminate biases introduced by varying means and help our model focus on the relative differences between data points. 2. *Scaling:* - Scaling, on the other hand, deals with the spread or range