# ageron/handson-ml

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

Repository: https://github.com/ageron/handson-ml
Canonical: https://ross.abutalabs.com/products/handson-ml
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: tensorflow, scikit-learn, machine-learning, python, deep-learning, neural-network, ml, distributed, jupyter-notebook, deprecated
Last push: 2026-05-19T23:03:15+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": 3851, "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 25594, forks 12731 (observed 2026-08-28T04:11:38.334580+00:00)

## What it is
Jupyter notebook companion to the first edition of the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn and TensorFlow', teaching machine learning fundamentals with example code and exercise solutions. It is deprecated in favor of the third edition (handson-ml3) and a PyTorch version (handson-mlp).

## Use cases
- learn machine learning fundamentals with python notebooks
- find solutions to hands-on machine learning book exercises
- practice scikit-learn and tensorflow examples
- run ml tutorials in colab or binder
- study neural networks with jupyter notebooks

## When to choose
- you specifically own or follow the 2017 first edition of the book
- you want the original exercise solutions matching the first edition

## When to avoid
- you want up-to-date content - use handson-ml3 or handson-mlp instead
- you need current tensorflow or scikit-learn API compatibility
- you are starting to learn ML today with no book edition constraint

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

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:38.334580+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 2026-08-29T16:56:01.692356+00:00, confidence not recorded.
  - readme: https://github.com/ageron/handson-ml (fetched 2026-08-28T04:11:38.334580+00:00, sha ea9891e8b034)
- Data as of 2026-08-30T08:39:29.467469+00:00.