final_grades <- sample(c("A","F"), size = 87, replace = TRUE, prob = c(0.9, 0.1))
final_grades <- sample(c("A","F"), size = 87, replace = TRUE, prob = c(0.9, 0.1))
Would have to be a pretty awful model though. 😋
Would have to be a pretty awful model though. 😋
Also to be fair, using 2000 in may name was very cool and edgy in 1999. 😆
Also to be fair, using 2000 in may name was very cool and edgy in 1999. 😆
At some point AOL and YouTube somehow merged, I guess?
Then when I put lecture videos on YT during Covid, my students were like uhhhh so what's with the account name???
🤦♀️🤦♀️🤦♀️
At some point AOL and YouTube somehow merged, I guess?
Then when I put lecture videos on YT during Covid, my students were like uhhhh so what's with the account name???
🤦♀️🤦♀️🤦♀️
Dude sklearn has some very weird hidden defaults and adjustments. 😩
(That said, test R-squared *can* be negative, in very overfit situations.)
Dude sklearn has some very weird hidden defaults and adjustments. 😩
(That said, test R-squared *can* be negative, in very overfit situations.)
Since python is used in broader applications than R, I wouldn't have expected them to be so correlated.
Since python is used in broader applications than R, I wouldn't have expected them to be so correlated.
If not, then I guess tagging all the R ones and listing only those is a pretty clean approach.
If not, then I guess tagging all the R ones and listing only those is a pretty clean approach.
I might see if I can figure out an exclude instead of include version but this will totally solve my problem easily if not.
You rock!
I might see if I can figure out an exclude instead of include version but this will totally solve my problem easily if not.
You rock!
I have to admit that "many pandas" makes more sense. I think my brain couldn't handle a package name being plural.
I have to admit that "many pandas" makes more sense. I think my brain couldn't handle a package name being plural.
(I think the package you are thinking of is called btw, by @simonpcouch.com )
(I think the package you are thinking of is called btw, by @simonpcouch.com )
Kind of a "snake eating tail" problem as far as generating new training data.
Kind of a "snake eating tail" problem as far as generating new training data.