OP here—wow, thanks for all the replies! This makes way more sense now.
I tried normalizing a dataset I’ve been working on (just for fun), and yeah, the scatter plots looked *way* better. Still not sure if I’ll always do it, but at least I get why people talk about it.
Follow-up Q: Do you guys always normalize for ML, or are there cases where you don’t? Like, what about tree-based models?
(Also, shoutout to the person who mentioned `MinMaxScaler`—gonna play with that next.)
I tried normalizing a dataset I’ve been working on (just for fun), and yeah, the scatter plots looked *way* better. Still not sure if I’ll always do it, but at least I get why people talk about it.
Follow-up Q: Do you guys always normalize for ML, or are there cases where you don’t? Like, what about tree-based models?
(Also, shoutout to the person who mentioned `MinMaxScaler`—gonna play with that next.)