Making Sense of Data with Explainable AI (shapash Python 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-mak...
Documentation https://shapash.readthedocs.io/
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