Welcome to Introduction to Machine Learning for Coders! Please use this category for any questions, issues, comments (and of course answers!) related to this course.
You have to reverse the order of the source and target arguments to that SCP command. It also matters whether you do it from your laptop or the AWS computer. Do it from your laptop and reverse the order of the arguments. Your laptop does not have the SSH port open probably
How to use the model we trained on a training set to predict dependent variables in a test set?
If I do m.predict(X_test) on the testing set downloaded from Kaggle, I get an error saying values are stored as string.
I thought that once your had a model you could use it to predict any new data rows whose dependent variable is unknown. How do we use models to predict unknown values then?
Sir, if the ML course is based on the older version of fastai library then will I be at a disadvantage? Is their going to be an ML course with fastai library v1?
I started the ML course, and will watch the archived versions of DL1 v3 (since it will be 6:30 in the morning and I have to attend college).
My only worry is concerning the older versions of the library.
Iād like to start a course from fast.ai ā¦ but which should I do first?
ML or AI ?
Whatās the relationship between the two - is it better to have an understanding of one before doing the other? Anything else I should consider in weighing the two options?
Is there any requirements.txt for the packages that needed for the courses? At first I thought that install fastai should be enough, but there are many, like feather or some ploting utils.
I have to run the notebooks and install each time error show for a missing packages.
The situation right now is very confusing. fastai v1 is out which is totally incompatible with older versions. (It also is not following semver and has frequent breaking changes in minor updates.)
It should theoretically be possible to clone an older version of the library from the repo and use that with these old notebooks. But Iāve been hacking away at it all evening and not got very far. Maybe someone with a better understanding of Python dependency management could write some instructions for it. Without this, Iād say itās not worth starting the ML course at this point.
Hopefully when v3 of the DL1 course is over in January, Jeremy will have time to update these notebooks for fastai v1 (which will also hopefully be more stable by then).
Hello, I was wondering if there was going to be a Intro to Machine Learning 2 because all we covered in this course was random forest, some computer vision and some nlp.
Figured this out a while ago and sorry for not responding earlier!
Had registered on Crestle.ai by mistake and it has exactly the same interface and there ml1 course was not listed. Then I registered back on crestle.com and could find the course there.
So itās a bit confusing having crestle having .ai and .com exactly similar but out of sync.
Will the āIntro to Machine Learningā books will be updated to be compatible with fastai v1?
I am having a hard time trying to use fastai v1 with ML course.
Also, if someone has modified ML books for fastai v1 or has used RF with fastai v1 please help me by providing links if possible.
Thanks!
