https://hub.imt-atlantique.fr/datascience-toolkit/assessment/deliverables/index.html Your assessment consists of two complementary mini-projects designed to demonstrate different aspects of machine learning engineering across diverse domains and technical challenges. Checklist & Quality Standards For each project, ensure you submit all components organized by core competency assessment: [BC04] Software Engineering Best Practices Git Workflow & Version Control: Clean Git repository with atomic commits (one feature/fix per commit) Descriptive commit messages following conventional format (feat:, fix:, docs:, refactor:, etc.) Logical commit progression showing incremental development story Regular commits demonstrating consistent development hygiene Final repository state representing production-ready code Code Quality & Architecture: Hugo en-us