AutoML (Automated Machine Learning) Tutorial in Python: Auto-SKLearn Regression & Classification
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- Опубликовано: 7 май 2022
- Colab Notebook: colab.research.google.com/dri...
Autosklearn Docs: automl.github.io/auto-sklearn...
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Thanks for making this great video! Your illustration is very clear and easy to follow, really helps me a lot to get started with automl!
Awesome video, just what I need. Thanks Greg!
greg nice video and nice explanation, please keep it going.
Thanks so much Farhan! :)
I put it on my playlist to watch later!
Great to hear William!
Very useful video. Thanks man
Thanks so much for the kind words!!
Great explaination
I am new to Data Science and Machine Learning world~
English is my secondary language but I am glad that I can follow thru with your instructions! :)
hopefully you could cover AUTO-ML in PowerBI too :)
Awesome! :) And PowerBI isn't exactly a machine learning tool, unless they have evolved it considerably over time
powerbi can run R and python within a dataset. nothing much to explain there. you have to know powerbi plus python (or R)
I tried doing pip install auto-sklearn in my jupyter notebook but it’s not installing. Giving a long error. From my research I saw that I’m suppose to install Ubuntu but I can rack my brain round that. Please do you have a link on how to install this in Jupyter
Where is the link to the dataset?
autosklearn 0.15.0 not compatible to the current numpy version. I always get errors in colab cause of incompatible versions of numpy, sklearn, autosklearn. Any ideas how to solve that??
tysm
Welcome sm
NOthing looks or feels like 'Auto'ML here.😜its more torture than normal humble sklearn.
thank you once again, a very nice video.
Are you familiar with some autoML libraries for time series?
Not really, I should look into that! But pycaret I would guess
Thank you for the video. Is there any way to use AutoML for classification of time series? Or if each element of the time series is made a feature that would be enough? The algorithm wouldn’t know that they are “ordered” but since they are individual features anyway, they will be considered separately and that’s enough?
There would be some assumptions you'd have to make that might be violated, but it's certainly possible as is. I think PyCaret has some specifically for time series?
we are writing more code in autoML. so whats the advantage? what is the fun?
!pip install auto-sklearn doesn't seem to work in Colab anymore."error: subprocess-exited-with-error"
Dang
once question, why these days Jupiter notebook is getting popular as compared to pycharm etc?
Because they are awesome :)
it only works in python 3.7
Hey, a more complex example in script would have been more useful. Thank you anyways.
Is that windows or Linux?
This was on colab which is linux
@@GregHogg gotcha so on your personal rig you use a Linux distro?
@@keshawnsmith320 no I use Windows, this was colab