# ageron/handson-mlp

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.

Repository: https://github.com/ageron/handson-mlp
Canonical: https://ross.abutalabs.com/products/handson-mlp
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Last push: 2026-03-19T20:56:56+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 73, release rhythm 35, longevity 34
- inputs: {"age_days": 480, "days_push": 167, "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 1917, forks 607 (observed 2026-08-28T04:05:53.642814+00:00)

## What it is
A collection of Jupyter notebooks teaching machine learning and deep learning fundamentals in Python using Scikit-Learn, PyTorch, and Hugging Face. It serves as the companion code and exercise solutions for the O'Reilly book 'Hands-on Machine Learning with Scikit-Learn and PyTorch'.

## Use cases
- learn machine learning fundamentals in python
- learn deep learning with pytorch
- find exercises and solutions for hands-on ml book
- get started with scikit-learn and hugging face
- run ml tutorials in colab
- study neural networks with worked notebooks

## When to choose
- you want a structured, book-backed path from ML basics to deep learning
- you prefer learning through runnable Jupyter notebooks with exercises
- you want to learn PyTorch and Hugging Face after knowing scikit-learn

## When to avoid
- you need production-ready ML code or a library to import
- you want the TensorFlow/Keras edition of the book (use ageron/handson-ml3)
- you need a course with videos or graded assignments

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, data-science
- domain: machine-learning, deep-learning, tutorials, education
- platform: python, cross-platform
- tags: jupyter-notebooks, scikit-learn, pytorch, hugging-face, oreilly-book-companion, hands-on-exercises

## Member repositories
- ageron/handson-mlp (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:53.642814+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 2026-08-30T03:10:08.399520+00:00, confidence not recorded.
  - readme: https://github.com/ageron/handson-mlp (fetched 2026-08-28T04:05:53.642814+00:00, sha 632f9566afdb)
- Data as of 2026-08-30T08:39:29.467469+00:00.