ageron/handson-ml2 resource
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead. observed · 2026-08-28
Health v2 · maintenance only
70/100
- Activity 83
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2794
- days_rel: n/a
- days_push: 106
- n_releases_24m: 0
Adoption not part of the score
29955 stars · 13156 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
learning-resource · maturity maintenance
machine-learning deep-learning data-science machine-learning deep-learning education tutorials python cross-platform jupyter-notebooks scikit-learn keras tensorflow book-companion deprecated exercises
1 source
- readme: https://github.com/ageron/handson-ml2 · fetched 2026-08-28 · 53c8803e8054
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ageron/handson-ml2 | main | 70 |
For agents
markdown · JSON · MCP: product_card(name="ageron/handson-ml2")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem