Комментарии:
But why we need web in ml ?
ОтветитьShort, sweet, and to the point! Thanks!!
ОтветитьAwesome video, tyvm for all the info, definitely subscribed :)
ОтветитьHi, love your content, was wondering why you prefer streamline over tkinter or pyqt?
ОтветитьThanks, very helpfull.
ОтветитьGreat content brother
ОтветитьThis is very Useful , Thanks mate
Ответитьwhat about keras ?
ОтветитьDo I have to know all the library's you just listed for machine learning
ОтветитьThank you!
ОтветитьWhat about Jax (+ haiku)?
ОтветитьIs it possible to install all the packages in a Docker image and run a development environment as a container and have an IDE like VS code connect to it?
ОтветитьGreat work brother!
Keep making such informative videos.
And I request you to make a video on hyperparameter tuning using optuna and pytorch if its possible
Falcon is a good API framework too. I loved working with it a while ago.
ОтветитьGreat video
ОтветитьThanks Patrick, good content as always!!!
ОтветитьRecently found explainable machine learning libraries (Shap) and decide to give it a go.
ОтветитьAwesome video as usual. I'd definitely love a TensorFlow vs PyTorch video.
ОтветитьWhat about plotly + dash? I think they are kind of cool. Matplotlib and seaborn are great but I think when you build application, plotly will be better.
ОтветитьAnd also OpenAI Gym if you want to do reinforcement learning simulation.
ОтветитьTT no time series analysis?
ОтветитьPatrick is getting recognition. I am super proud of you!
ОтветитьNice
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