Problem
Machine learning models are often called “black boxes” — their internal logic is hidden and difficult for practitioners to audit or explain.
What I built
A visual decision tree and an interactive tabular tool guiding practitioners to the right Python explainability library for their model type and use case.
Impact
A systematic decision tree as well as a tabular, interactive decision tool · Presented at PyConDE/PyData 2026