# maxim5/cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

Repository: https://github.com/maxim5/cs229-2018-autumn
Canonical: https://ross.abutalabs.com/products/cs229-2018-autumn
Homepage: http://cs229.stanford.edu/
Language: Jupyter Notebook
License Family: other
Topics: machine-learning, stanford-university, neural-networks, cs229
Last push: 2025-02-14T11:35:32+00:00

## Health v2 (maintenance only)
Score: 35/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 6, release rhythm 35, longevity 100
- inputs: {"age_days": 2032, "days_push": 565, "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 3478, forks 1223 (observed 2026-08-28T04:08:06.783344+00:00)

## What it is
A collection of lecture notes, slides, and assignments for Stanford's CS229: Machine Learning course (Autumn 2018 edition). It serves as a free, self-contained study resource for learning machine learning fundamentals.

## Use cases
- learn machine learning fundamentals from Stanford course notes
- study supervised and unsupervised learning theory
- find CS229 assignments and slides for self-study
- review neural networks and reinforcement learning lecture material
- prepare for a university-level machine learning course
- access free machine learning course materials with YouTube lectures

## When to choose
- you want structured, university-quality machine learning course notes for free
- you prefer learning from lecture notes, slides, and assignments rather than textbooks
- you want to follow along with the publicly available CS229 YouTube lectures

## When to avoid
- you need a software library or tool for building machine learning models
- you want up-to-date course materials, as this is the 2018 edition
- you need hands-on production ML code rather than educational content

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning
- domain: machine-learning, tutorials, education
- platform: python
- tags: lecture-notes, stanford, cs229, jupyter-notebooks, course-materials, supervised-learning, unsupervised-learning, reinforcement-learning

## Member repositories
- maxim5/cs229-2018-autumn (main) score 35

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:06.783344+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 2026-08-29T18:36:30.481177+00:00, confidence not recorded.
  - readme: https://github.com/maxim5/cs229-2018-autumn (fetched 2026-08-28T04:08:06.783344+00:00, sha 031c55ce9412)
  - homepage: http://cs229.stanford.edu/ (fetched 2026-08-29T09:30:32.713708+00:00, sha 68dec3f321e9)
- Data as of 2026-08-30T08:39:29.467469+00:00.