CodingTrain/Machine-Learning resource
Examples and experiments around ML for upcoming Coding Train videos observed · 2026-09-03
Health v2 · maintenance only
32/100
- Activity 0
- 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3483
- days_rel: n/a
- days_push: 1926
- n_releases_24m: 0
Adoption not part of the score
1004 stars · 195 forks observed · 2026-09-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated collection of machine learning learning resources (articles, books, courses, videos, tools) maintained by the Coding Train for its videos and ITP course. It is primarily an educational link list rather than usable software.
Use cases
- find beginner machine learning tutorials
- learn machine learning for creative coding
- find ML articles and courses
- resources for learning neural networks
- beginner-friendly AI learning path
When to choose
- you want curated beginner-friendly ML learning materials
- you follow Coding Train content and want supporting resources
When to avoid
- you need runnable ML code or a library
- you want actively updated resources (last release 2021)
Facets
learning-resource · maturity maintenance
machine-learning developer-tools machine-learning tutorials artificial-intelligence cross-platform curated-list education creative-coding awesome-list
1 source
- readme: https://github.com/CodingTrain/Machine-Learning · fetched 2026-09-03 · 13cde841000f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| CodingTrain/Machine-Learning | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="CodingTrain/Machine-Learning")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem