Interpreting Machine Learning Models with SHAP

Curious about what drives your model’s predictions?
This focused workshop dives deep into SHAP (SHapley Additive exPlanations), one of the most powerful tools for local and global model interpretability.

✅ What you’ll learn:

The theory behind SHAP and Shapley values
How to use SHAP for local and global interpretability
Visualizing SHAP values effectively
Common pitfalls, best practices, and performance tips

🧑‍💻 Format:

Focused theory sessions on SHAP
Hands-on coding with Jupyter Notebooks
Interactive exercises and discussions

🎯 Who it’s for:
ML practitioners, researchers, and data scientists with basic Python & ML knowledge.

Interested?
Send an email to discuss scope, format, and timing. The workshop can be adapted to your team’s needs.

Interested? Get in touch at chris@christophmolnar.com and let’s set up your workshop. For in-house workshops, I can travel to any location easily reachable from Munich. I look forward to helping your team!