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.
Nice video! Say does LASO-Regression only apply to multiple linear regression where you have multiple variables that contribute to the target variable?
Dear Ryan, could you please write all these codes with pipelines and columns transformers, it would be great to see the best practice with all sklearn pipeline tools. Thank you for this great work, and more feature engineering please :)
Hey, have a pipeline and transformer videos. + working on a Kaggle project with them. I’ll also be using pipelines with the voting regressor + stacking vids. For the simple model vids, going to focus on background of model, basic example, and tuning
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.
I made a mistake within this video: fit_transform must be only on train set, for test there must be only transform.
if you did this mistake why did it not overfit i.e. why the error was not zero?
Just found your channel, loving the python tutorials
Glad you like them! I put out about 3 a week
have you tried pycaret?
so what if the lasso drop two features who can you tell which features it dropeed when you zip teh freatures and coeef back together???
Nice video! Say does LASO-Regression only apply to multiple linear regression where you have multiple variables that contribute to the target variable?
no, it can be applied to other linear regressions although multiple is probably most common
Dear Ryan, could you please write all these codes with pipelines and columns transformers, it would be great to see the best practice with all sklearn pipeline tools. Thank you for this great work, and more feature engineering please :)
Hey, have a pipeline and transformer videos. + working on a Kaggle project with them.
I’ll also be using pipelines with the voting regressor + stacking vids.
For the simple model vids, going to focus on background of model, basic example, and tuning
Very useful video, very cool. Saved me a bunch of time and effort from trying to learn it R A W.
Awesome glad you found some value