The beginning of my study on explainability in machine learning to apply for my undegraduate thesis.

SHAP values are a way to explain the output of any machine learning model, using a game theoretic approach, showing how each feature affects each final prediction.

Last patch-hub contributions and conclusions

Refactoring patch-hub for Growth and Accessibility

About my bug-fixes contribution for patch-hub

About my first contribution to Kernel Workflow

My first experience in Packaging for Debian contribution.