How to Build Your First KNN Python Model in scikit-learn (K Nearest Neighbors)

[@RyanAndMattDataScience]

Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!
Article: ryanandmattdatascience.com/k-nearest-neighbors/
Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg
If you want to watch a full course on Machine Learning check out Datacamp: datacamp.pxf.io/XYD7Qg
Want to solve Python data interview questions: stratascratch.com/?via=ryan
I'm also open to freelance data projects. Hit me up at [e-mail]
*Both Datacamp and Stratascratch are affiliate links.

[@Jade-z7q]

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

[@RyanAndMattDataScience]

Ye I messed it up on this video. Think I left it pinned as a comment

[@arti5946]

Never thought its that easy

[@RyanAndMattDataScience]

It’s not too bad

[@khushgora1359]

why did we use fit_transform foe test data as well ? instead of only transform

[@danielrexrj]

Wouldn't it be better to use X_test = scaler.transform(X_test) instead of X_test = scaler.fit_transform(X_test)?

[@thiraputkhongmuak9891]

What’s the difference between fit_transform and transform?

[@ShiftKoncepts]

Are you able to do the scaling first before train test split?

[@icewater2762]

Yeahh i am able to

[@RyanAndMattDataScience]

You should scale after

[@arulkumaransendilvel6853]

what is difference between scaler.fit() and scaler.fit_transform() ⁉

[@aineshbalaga1216]

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.

[@aineshbalaga1216]

Why don’t we use StandardScaler for this one?

[@shihamfarook7291]

can you explain why did you choose n_neighbors as 8

[@soyroian]

Hey Ryan, I'm trying to follow along. Will there be a link to the CSV file? Thank you in advance.

[@RyanAndMattDataScience]

Shoot, I’ll get that up later today. I apologize

[@RyanAndMattDataScience]

It's in the description now

[@soyroian]

Thanks @@RyanAndMattDataScience

[@chizitereigwe4544]

Funniest tutorial intro in history. #RogerClemens #BarryBonds #PeteRose

[@RyanAndMattDataScience]

Haha thanks I’m a big baseball fan

[@mehrantavakoli6816]

👏👏👏👏❤❤❤❤