# wzy6642/Machine-Learning-in-Action-Python3

《机器学习实战》的python3源码

Repository: https://github.com/wzy6642/Machine-Learning-in-Action-Python3
Canonical: https://ross.abutalabs.com/products/machine-learning-in-action-python3
Language: HTML
License Family: other
Topics: machine-learning, python3
Last push: 2020-08-02T00:49:50+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2806, "days_push": 2223, "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 1343, forks 480 (observed 2026-08-28T04:04:27.068846+00:00)

## What it is
Python 3 port of the source code from the book 'Machine Learning in Action', originally written for Python 2. It organizes implementations of classic ML algorithms (kNN, neural networks, etc.) by book chapter and case study.

## Use cases
- learn machine learning algorithms by reading worked code examples
- run Machine Learning in Action book code on Python 3
- study implementations of kNN, decision trees, SVM, and neural networks
- find reference implementations of classic ML algorithms from scratch
- supplement an ML course with hands-on coding exercises

## When to choose
- you are studying the 'Machine Learning in Action' book and need working Python 3 code
- you want simple, educational from-scratch algorithm implementations rather than production libraries
- you are a beginner learning ML fundamentals in Python

## When to avoid
- you need a production-grade, maintained ML framework like scikit-learn
- you need actively developed software with a license and community support
- you need modern deep learning tooling such as PyTorch or TensorFlow

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-science
- domain: machine-learning, education, tutorials
- platform: python
- tags: python3, book-companion-code, machine-learning-in-action, algorithms, example-code

## Member repositories
- wzy6642/Machine-Learning-in-Action-Python3 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:27.068846+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 2026-08-30T04:43:04.374509+00:00, confidence not recorded.
  - readme: https://github.com/wzy6642/Machine-Learning-in-Action-Python3 (fetched 2026-08-28T04:04:27.068846+00:00, sha 3b6ffc805028)
- Data as of 2026-08-30T08:39:29.467469+00:00.