# ageron/handson-ml2

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Repository: https://github.com/ageron/handson-ml2
Canonical: https://ross.abutalabs.com/products/handson-ml2
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2026-05-19T23:02:20+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 83, release rhythm 35, longevity 100
- inputs: {"age_days": 2794, "days_push": 106, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 29955, forks 13156 (observed 2026-08-28T04:11:53.777673+00:00)

## What it is
Jupyter notebooks with example code and exercise solutions accompanying the second edition of the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow'. This edition is deprecated in favor of the third edition (handson-ml3) and a PyTorch version (handson-mlp).

## Use cases
- learn machine learning fundamentals in python
- practice scikit-learn and tensorflow exercises
- follow along with a hands-on ML book
- run ML notebooks in colab or kaggle
- study keras and tensorflow examples

## When to choose
- you are reading the second edition of the book and want its exact code
- you want a free, well-structured ML course in notebook form

## When to avoid
- you want up-to-date libraries and practices - use handson-ml3 instead
- you prefer PyTorch - use handson-mlp instead

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, data-science
- domain: machine-learning, deep-learning, education, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, scikit-learn, keras, tensorflow, book-companion, deprecated, exercises

## Member repositories
- ageron/handson-ml2 (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:53.777673+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 2026-08-29T16:52:48.895906+00:00, confidence not recorded.
  - readme: https://github.com/ageron/handson-ml2 (fetched 2026-08-28T04:11:53.777673+00:00, sha 53c8803e8054)
- Data as of 2026-08-30T08:39:29.467469+00:00.