This play list is starting out quite well. I gotta go back on review the feature selection for linear models section of ISLR though. I don't remember them ranking stepwise methods over the coals. They did mention that best subset selection (that's the one you couldn't recall IIRC) is computationally very expensive and doesn't tend to get used on data sets with more than 10 predictors.
I'm starting to doubt what universities are for nowadays (to give a certificate after completing exams, it seems). I've learned much more about statistics on CZcams that in my lectures. Thank you for this
OMG 🤭 this is so entertaining, and I'm learning in PLAIN ENGLISH, thank you!!!! you are unusual and brilliant!
I'm laughing so much that I have to stop the video to learn!!! (but the funny thing is I'm learning too!)
This play list is starting out quite well. I gotta go back on review the feature selection for linear models section of ISLR though. I don't remember them ranking stepwise methods over the coals. They did mention that best subset selection (that's the one you couldn't recall IIRC) is computationally very expensive and doesn't tend to get used on data sets with more than 10 predictors.
I'm starting to doubt what universities are for nowadays (to give a certificate after completing exams, it seems). I've learned much more about statistics on CZcams that in my lectures.
Thank you for this
What about ridge regression and LASSO for feature reduction?
3:50 "the red line represent ...". Can you change the graph? Its a green line...
I can't change a video once it's posted.