# fengdu78/WZU-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）

Repository: https://github.com/fengdu78/WZU-machine-learning-course
Canonical: https://ross.abutalabs.com/products/wzu-machine-learning-course
Language: Jupyter Notebook
License Family: other
Last push: 2025-09-25T15:15:32+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 43, release rhythm 35, longevity 100
- inputs: {"age_days": 1991, "days_push": 342, "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 2081, forks 738 (observed 2026-08-28T04:06:11.639590+00:00)

## What it is
Course materials for Wenzhou University's Machine Learning course taught by Huang Haiguang, including PDF lecture slides, Jupyter notebook code, and video links. Also includes deep learning course slides, with the course available on the Chinese MOOC platform icourse163.

## Use cases
- learn machine learning fundamentals from a university course
- find machine learning lecture slides and ppt materials
- study machine learning with jupyter notebook examples
- follow a structured machine learning mooc with videos
- get teaching materials for a machine learning course
- learn deep learning basics from course slides

## When to choose
- you want a complete, structured university-style ML course with slides, code, and videos
- you prefer Chinese-language machine learning instruction
- you are an instructor looking for reusable ML teaching materials

## When to avoid
- you need production machine learning code or a library
- you require English-only materials
- you need a maintained software tool rather than educational content

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, data-science
- domain: machine-learning, deep-learning, education, tutorials
- platform: python, cross-platform
- tags: course-materials, jupyter-notebooks, lecture-slides, chinese-language, university-course, mooc

## Member repositories
- fengdu78/WZU-machine-learning-course (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.639590+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 2026-08-30T02:55:57.495623+00:00, confidence not recorded.
  - readme: https://github.com/fengdu78/WZU-machine-learning-course (fetched 2026-08-28T04:06:11.639590+00:00, sha ce9db09b7bdd)
- Data as of 2026-08-30T08:39:29.467469+00:00.