"Can someone explain whats the point of pandas normalization? Is it worth the effort?"
Hey y'all,
I keep seeing people talk about normalizing data in pandas, but like... whats the point of pandas normalization really?
I get that it scales stuff to a range (usually 0-1), but does it *actually* make a difference in practice? Or is it just one of those "best practice" things that doesn’t really matter unless you’re doing fancy ML stuff?
Like, if I’m just doing basic analysis or cleaning data, is it worth the extra step? Or am I missing something obvious here?
Would love to hear when you guys actually use it vs when you skip it. Cheers!
*(also, sorry if this is a dumb question lol)*
Hey y'all,
I keep seeing people talk about normalizing data in pandas, but like... whats the point of pandas normalization really?
I get that it scales stuff to a range (usually 0-1), but does it *actually* make a difference in practice? Or is it just one of those "best practice" things that doesn’t really matter unless you’re doing fancy ML stuff?
Like, if I’m just doing basic analysis or cleaning data, is it worth the extra step? Or am I missing something obvious here?
Would love to hear when you guys actually use it vs when you skip it. Cheers!
*(also, sorry if this is a dumb question lol)*