Ross ROSS = Recommend OSS · open-source software intelligence for agents

shsarv/Machine-Learning-Projects resource

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools. observed · 2026-08-28

github.com/shsarv/Machine-Learning-Projects · homepage · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

74/100

  • Activity 93
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2119
  • days_rel: n/a
  • days_push: 47
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1833 stars · 579 forks observed · 2026-08-28

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

A curated collection of 26 end-to-end machine learning projects in Jupyter Notebooks covering deep learning, NLP, computer vision, healthcare AI, and time series forecasting. Several projects are deployed as web or GUI applications, making it a practical learning portfolio.

Use cases

  • learn machine learning through hands-on projects
  • find example projects for deep learning and NLP
  • build a machine learning portfolio
  • study end-to-end ML project implementations
  • learn OpenCV computer vision projects
  • explore healthcare AI prediction models

When to choose

  • you want complete, runnable example projects across many ML domains
  • you are a student or beginner building practical ML skills
  • you need reference implementations for CV, NLP, or time series tasks

When to avoid

  • you need a production-ready library or framework with an API
  • you require licensed, maintained software for commercial use (no license is provided)
  • you need a single cohesive tool rather than a set of independent notebooks

Facets

learning-resource · maturity active

machine-learning deep-learning nlp computer-vision chatbot data-science machine-learning deep-learning computer-vision data-science healthcare tutorials python cross-platform jupyter-notebooks portfolio-projects opencv time-series-forecasting beginner-friendly end-to-end-projects natural-language-processing

2 sources

Member repositories

RepositoryRoleHealth v2
shsarv/Machine-Learning-Projectsmain74

For agents

markdown · JSON · MCP: product_card(name="shsarv/Machine-Learning-Projects")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem