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Thanks for this video. But, I'm not able to install this library . This is the error I got. Cannot uninstall 'llvmlite' It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall. Please prof. how can I resolve this issue?
Hi I would recommend to install conda and then create a new conda environment specifically for installing this library. The environment works very much like a container that has its own Python installed in the container and it is isolated from the default Python that may be pre-installed in your computer.
I discovered streamlit from you and now this one. You’re a gold mine ☺️ Shapash seems better placed than streamlit, especially for interactive widgets. How do you compare both?
Awesome, thank you! I like to think that Shapash and streamlit are belonging to different categories. Shapash is a ready to use dashboard web app that allows exploration of the data (EDA) while Streamlit allows you to create your own web app very much like how you would use Flask to build a web app, but Streamlit is much easier to use.
good library tutorials again from prof :) I think this is indeed nothing so different than streamlit+lazypredict or similar sort of auto ml web apps :) but plotting with a fancier way by using Plotly plots :)
Good info. :-) Kindly guide me on how do I run shapash library in streamlit. when I ran python .py file not jupytet notebook I got error as - ModuleNotFoundError: No module named 'shapash.explainer'; 'shapash' is not a package . Thank you
Hi, shapash does not run from within streamlit, it runs as an app from shapash's own function. More details on implementing this is from the developer's blog on Medium (also mentioned in the video description) pub.towardsai.net/shapash-making-ml-models-understandable-by-everyone-8f96ad469eb3
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Great Library. always get to discover a new library from you, Prof. thanks
My pleasure! Thanks for watching!
I'll never finish my ml project because you keep introducing me to these awesome libraries that I want to use.
Haha, practice makes perfect 😊
Thanks for the video ! Which one do you think is better shapash or explainerdashboard library?
Thanks for this video. But, I'm not able to install this library . This is the error I got. Cannot uninstall 'llvmlite' It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall. Please prof. how can I resolve this issue?
Hi I would recommend to install conda and then create a new conda environment specifically for installing this library. The environment works very much like a container that has its own Python installed in the container and it is isolated from the default Python that may be pre-installed in your computer.
I discovered streamlit from you and now this one. You’re a gold mine ☺️
Shapash seems better placed than streamlit, especially for interactive widgets. How do you compare both?
Awesome, thank you!
I like to think that Shapash and streamlit are belonging to different categories. Shapash is a ready to use dashboard web app that allows exploration of the data (EDA) while Streamlit allows you to create your own web app very much like how you would use Flask to build a web app, but Streamlit is much easier to use.
@@DataProfessor Got it. Thanks for the clarification.
really interesting library , thanks for sharing!!
My pleasure!
good library tutorials again from prof :) I think this is indeed nothing so different than streamlit+lazypredict or similar sort of auto ml web apps :) but plotting with a fancier way by using Plotly plots :)
Thanks for your input 😊
i am having problems accessing my shapash webapp through google colab
Good info. :-) Kindly guide me on how do I run shapash library in streamlit. when I ran python .py file not jupytet notebook I got error as - ModuleNotFoundError: No module named 'shapash.explainer'; 'shapash' is not a package . Thank you
Hi, shapash does not run from within streamlit, it runs as an app from shapash's own function. More details on implementing this is from the developer's blog on Medium (also mentioned in the video description) pub.towardsai.net/shapash-making-ml-models-understandable-by-everyone-8f96ad469eb3
Is it possible to retrieve data from the plots using this?
Yes, since the plots are made from the data. But the dashboard does not allow downloading of the plotted data.
GOOD INFO
Glad it was helpful!
who managed to install the library, i am failing to install it
It has no deep learning or NNs.