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

Repository: https://github.com/krishnaik06/Data-Science-Projects-For-Resumes
Canonical: https://ross.abutalabs.com/products/data-science-projects-for-resumes
License: GPL-3.0
License Family: copyleft
Last push: 2024-02-22T10:46:30+00:00

## Health v2 (maintenance only)
Score: 25/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 65
- inputs: {"age_days": 923, "days_push": 923, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1803, forks 491 (observed 2026-08-28T04:05:38.304012+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, nlp, computer-vision, etl
- domain: data-science, machine-learning, tutorials, education
- platform: python, cross-platform
- tags: portfolio-projects, mlops, resume-projects, end-to-end-projects, youtube-tutorials

## Member repositories
- krishnaik06/Data-Science-Projects-For-Resumes (main) score 25

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:38.304012+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:21:52.629760+00:00, confidence not recorded.
  - readme: https://github.com/krishnaik06/Data-Science-Projects-For-Resumes (fetched 2026-08-28T04:05:38.304012+00:00, sha 406c8014a77b)
- Data as of 2026-08-30T08:39:29.467469+00:00.