AutoML (Automated Machine Learning) Tutorial in Python: Auto-SKLearn Regression & Classification

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NOthing looks or feels like 'Auto'ML here.😜its more torture than normal humble sklearn.

techspan

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!

XinyueDing

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 :)

AlvinRyellPrada

I put it on my playlist to watch later!

senna_william

Awesome video, just what I need. Thanks Greg!

huytranvan

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??

moritzwinklmair

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

kooffrehessien

greg nice video and nice explanation, please keep it going.

farhanmarwatify

we are writing more code in autoML. so whats the advantage? what is the fun?

techspan

thank you once again, a very nice video.
Are you familiar with some autoML libraries for time series?

BBBBBBAAAl

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?

pgp

!pip install auto-sklearn doesn't seem to work in Colab anymore."error: subprocess-exited-with-error"

agracian

once question, why these days Jupiter notebook is getting popular as compared to pycharm etc?

farhanmarwatify

Hey, a more complex example in script would have been more useful. Thank you anyways.

ludwigb

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