Hey guys I hope you enjoyed the video! If you did please subscribe to the channel! 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 ryannolandata@gmail.com *Both Datacamp and Stratascratch are affiliate links.
![ILLSLICK - KILLSHOT REMIX [FULL VERSION]](http://i.ytimg.com/vi/RIK8RrqIAzE/mqdefault.jpg)
Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!
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 ryannolandata@gmail.com
*Both Datacamp and Stratascratch are affiliate links.
Why don’t we use StandardScaler for this one?
Funniest tutorial intro in history. #RogerClemens #BarryBonds #PeteRose
why did we use fit_transform foe test data as well ? instead of only transform
what is difference between scaler.fit() and scaler.fit_transform() ⁉
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.
Never thought its that easy
It’s not too bad
Wouldn't it be better to use X_test = scaler.transform(X_test) instead of X_test = scaler.fit_transform(X_test)?
What’s the difference between fit_transform and transform?
Hey Ryan, I'm trying to follow along. Will there be a link to the CSV file? Thank you in advance.
Shoot, I’ll get that up later today. I apologize
It's in the description now
Thanks @@RyanAndMattDataScience
can you explain why did you choose n_neighbors as 8
I feel like y here is column 14. Am I correct?
👏👏👏👏❤❤❤❤