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The aim of the project is to apply different global, local and performance interpretability methods as well as model fairness evaluations to a dataset with protected attributes. The dataset regards traffic violations in Montgomery, Maryland, USA. This is a fork of a group project of my Data Science for Business Master's Degree at HEC Paris.
End-to-end implementation of banknotes authentication using advanced prototype-based model classification by components model dockerized and deployed on the Heroku platform as a service cloud.