# CodingTrain/Machine-Learning

Examples and experiments around ML for upcoming Coding Train videos

Repository: https://github.com/CodingTrain/Machine-Learning
Canonical: https://ross.abutalabs.com/products/codingtrain-machine-learning
License Family: other
Last push: 2021-05-25T04:40:32+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3483, "days_push": 1926, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1004, forks 195 (observed 2026-09-03T02:15:05.343567+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, developer-tools
- domain: machine-learning, tutorials, artificial-intelligence
- platform: cross-platform
- tags: curated-list, education, creative-coding, awesome-list

## Member repositories
- CodingTrain/Machine-Learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:05.343567+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 2026-08-30T07:13:47.921859+00:00, confidence not recorded.
  - readme: https://github.com/CodingTrain/Machine-Learning (fetched 2026-09-03T02:15:05.343567+00:00, sha 13cde841000f)
- Data as of 2026-08-30T08:39:29.467469+00:00.