Beginner projects
Great first projects to publish:
- A Data Science tutorial reproduction with your own twist
- A small end-to-end demo with clear README
- A public write-up explaining your approach
Intermediate projects
Stand-out projects for interviews:
- A Data Science project deployed publicly
- A dataset or benchmark you contribute to
- An open-source PR merged
Advanced projects
Projects that beat certifications:
- A production-grade system with real users
- A published paper, talk or teardown
- A tool used by others in the field
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