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MicrosoftDocs/ml-basics resource

Exercise notebooks for Machine Learning modules on Microsoft Learn observed · 2026-08-28

github.com/MicrosoftDocs/ml-basics · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

48/100

  • Activity 36
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2272
  • days_rel: n/a
  • days_push: 386
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1936 stars · 2330 forks observed · 2026-08-28

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

A collection of Jupyter Notebook exercise files accompanying the 'Create machine learning models' learning path on Microsoft Learn. It provides hands-on notebooks for learning machine learning fundamentals.

Use cases

  • learn machine learning basics through hands-on notebooks
  • practice exercises for the Microsoft Learn ML path
  • teach introductory machine learning with Jupyter notebooks
  • work through supervised learning examples in Python
  • supplement an ML course with guided exercises

When to choose

  • you are following the Microsoft Learn 'Create machine learning models' path
  • you want beginner-friendly ML exercises in Jupyter notebooks
  • you need ready-made teaching materials for intro ML

When to avoid

  • you need production machine learning code or a library
  • you want advanced or research-level ML content
  • you expect community contributions or frequent feature updates

Facets

learning-resource · maturity active

machine-learning data-science machine-learning education tutorials python cross-platform jupyter-notebooks microsoft-learn exercises beginner-friendly

1 source

Member repositories

RepositoryRoleHealth v2
MicrosoftDocs/ml-basicsmain48

For agents

markdown · JSON · MCP: product_card(name="MicrosoftDocs/ml-basics")

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