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@Jade-z7q3 күн бұрын
true negative is on the top left, false positive is on the top right, false negative is at the bottom left, true positive is at the bottom right
@RyanAndMattDataScience3 күн бұрын
Ye I messed it up on this video. Think I left it pinned as a comment
@khushgora13594 ай бұрын
why did we use fit_transform foe test data as well ? instead of only transform
@arti59464 ай бұрын
Never thought its that easy
@RyanAndMattDataScience4 ай бұрын
It’s not too bad
@ShiftKoncepts21 күн бұрын
Are you able to do the scaling first before train test split?
@icewater276220 күн бұрын
Yeahh i am able to
@RyanAndMattDataScience18 күн бұрын
You should scale after
@arulkumaransendilvel68533 ай бұрын
what is difference between scaler.fit() and scaler.fit_transform() ⁉
@aineshbalaga12162 ай бұрын
If I’m not mistaken they do .fit in a separate line? I’m not sure why it’s not a common thing just to include it one line of code.
@danielrexrj4 ай бұрын
Wouldn't it be better to use X_test = scaler.transform(X_test) instead of X_test = scaler.fit_transform(X_test)?
@thiraputkhongmuak98913 ай бұрын
What’s the difference between fit_transform and transform?
@soyroian Жыл бұрын
Hey Ryan, I'm trying to follow along. Will there be a link to the CSV file? Thank you in advance.
@RyanAndMattDataScience Жыл бұрын
Shoot, I’ll get that up later today. I apologize
@RyanAndMattDataScience Жыл бұрын
It's in the description now
@soyroian Жыл бұрын
Thanks @@RyanAndMattDataScience
@aineshbalaga12162 ай бұрын
Why don’t we use StandardScaler for this one?
@shihamfarook72916 ай бұрын
can you explain why did you choose n_neighbors as 8
@chizitereigwe4544Ай бұрын
Funniest tutorial intro in history. #RogerClemens #BarryBonds #PeteRose