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.
Great video. Feel like this is an important concept and you explain it in 15 mins. Thanks. I do have a few question. 1) if i want to use the odc like u explain in another video, do i clarify another transformer (enc) for example: sizes =['Small', 'Medium', 'Large'] enc =OrdinalEncoder(categories=[sizes]) ct = make_column_transformer ( (ohe,['city']), (enc,['size']), remainder = 'passthrough' )
Also, you give us a simple data set, which is great. However, I had the trouble when i have a large data set and have a lot of columns, and i don't know how to retrieve the column name after column transform. Will you explain how to do it in later projects/videos? Again, thanks for all the great work. Having a blast following through the playlist.
Like your others, there are lots of good stuffs in a concise video. Wonder if you could make the Jupiter notebook available for this video or future's.
I do plan on rolling out the code to my website in the future. Just don’t have the resources yet. Once the channel scales a little more I’ll hire someone to help me upload them
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.
Great video. Feel like this is an important concept and you explain it in 15 mins. Thanks. I do have a few question. 1) if i want to use the odc like u explain in another video, do i clarify another transformer (enc) for example:
sizes =['Small', 'Medium', 'Large']
enc =OrdinalEncoder(categories=[sizes])
ct = make_column_transformer (
(ohe,['city']),
(enc,['size']),
remainder = 'passthrough'
)
Thank you!!!
Thanks for checking it out
Loving all your videos thanks
Thank you for checking them out!
Also, you give us a simple data set, which is great. However, I had the trouble when i have a large data set and have a lot of columns, and i don't know how to retrieve the column name after column transform. Will you explain how to do it in later projects/videos? Again, thanks for all the great work. Having a blast following through the playlist.
I may have this in my titanic or House pricing projects? Not 100% sure though its been a while since I looked at them
Like your others, there are lots of good stuffs in a concise video. Wonder if you could make the Jupiter notebook available for this video or future's.
I do plan on rolling out the code to my website in the future. Just don’t have the resources yet. Once the channel scales a little more I’ll hire someone to help me upload them
Great video!
Thanks!
Nice Explination
Thank you
Thanks!
Thanks Greg! I appreciate it
nice
Thanks