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4 Significant Limitations of SHAP

SHAP is the most powerful Python package for understanding and debugging your machine learning models. Yet, it still has its limitations. Understanding these is critical to avoid incorrect conclusions when using the package. We explore the 4 most significant limitations of SHAP: issues with the package, feature dependencies, causal inference and human error.

*NOTE*: You will now get the XAI course for free if you sign up (not the SHAP course)
SHAP course: adataodyssey.com/courses/shap-with-python/
XAI course: adataodyssey.com/courses/xai-with-python/
Newsletter signup: mailchi.mp/40909011987b/signup

Read the companion article (no-paywall link): medium.com/data-science/the-limitations-of-shap-70…

Medium: conorosullyds.medium.com/
Twitter: twitter.com/conorosullyDS
Mastodon: sigmoid.social/@conorosully
Website: adataodyssey.com/

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