Making Sense of Data with Explainable AI shapash Python library

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Making Sense of Data with Explainable AI (shapash Python library)

Making Sense of Data with Explainable AI (shapash Python library)

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  • John Owusu konduah – i am having problems accessing my shapash webapp through google colab
  • Arjun K – 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 39 shapash.explainer 39 39 shapash 39 is not a package . Thank you
  • Abel Jonell – who managed to install the library i am failing to install it
  • Priya Brata Sen – Thanks for the video Which one do you think is better shapash or explainerdashboard library

In explainable AI the focus is to make machine learning models interpretable. Shapash is a Python library that sets out to make machine learning interpretable and understable by everyone. It does this by displaying several visualization plots that allow data scientists and users to better understand their models and thus help to drive data driven decision. In this video I will be providing a high level overview of Shapash and show you how it can be used for making sense of data in your data science projects. Links for this video GitHub https github.com MAIF shapash Medium blog https pub.towardsai.net shapash making ml models understandable by everyone 8f96ad469eb3 Documentation https shapash.readthedocs.io Subscribe to this YouTube channel https www.youtube.com dataprofessor sub_confirmation 1 Join the Newsletter of Data Professor http newsletter.dataprofessor.org Buy me a coffee https www.buymeacoffee.com dataprofessor Download Kite for FREE https www.kite.com get kite utm_medium referral amp utm_source youtube amp utm_campaign dataprofessor amp utm_content description only Playlist Check out our other videos in the following playlists. Data Science 101 https bit.ly dataprofessor ds101 Data Science YouTuber Podcast https bit.ly datascience youtuber podcast Data Science Virtual Internship https bit.ly dataprofessor internship Bioinformatics http bit.ly dataprofessor bioinformatics Data Science Toolbox https bit.ly dataprofessor datasciencetoolbox Streamlit Web App in Python https bit.ly dataprofessor streamlit Shiny Web App in R https bit.ly dataprofessor shiny Google Colab Tips and Tricks https bit.ly dataprofessor google colab Pandas Tips and Tricks https bit.ly dataprofessor pandas Python Data Science Project https bit.ly dataprofessor python ds R Data Science Project https bit.ly dataprofessor r ds Weka No Code Machine Learning http bit.ly dp weka shapash explainableai dataprofessor

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