krishnaik06/Data-Science-Projects-For-Resumes resource

Health v2 · maintenance only

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Adoption not part of the score

1803 stars · 491 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of end-to-end data science projects (machine learning, deep learning, NLP, computer vision) designed to build a resume portfolio, each paired with YouTube walkthroughs. Projects cover MLOps practices like GitHub Actions, Docker, MLflow, DVC, and AWS SageMaker deployment.

Use cases

• build data science portfolio projects for my resume
• learn end-to-end ML project with deployment
• practice MLOps with GitHub Actions and Docker
• find guided deep learning project tutorials
• learn text summarization NLP project end to end
• learn to deploy ML models on AWS SageMaker

When to choose

• you want guided, video-backed projects to showcase on a data science resume
• you want to learn MLOps tooling like MLflow, DVC, and CI/CD in context
• you are a beginner needing a first end-to-end ML project

When to avoid

• you need production-ready, maintained software rather than tutorial code
• you want a library or framework to import into your own app
• you prefer text-based documentation over video tutorials

Facets

learning-resource · maturity active

machine-learning deep-learning nlp computer-vision etl data-science machine-learning tutorials education python cross-platform portfolio-projects mlops resume-projects end-to-end-projects youtube-tutorials

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markdown · JSON · MCP: product_card(name="krishnaik06/Data-Science-Projects-For-Resumes")