# liuyubobobo/Play-with-Machine-Learning-Algorithms

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

Repository: https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms
Canonical: https://ross.abutalabs.com/products/play-with-machine-learning-algorithms
Language: Jupyter Notebook
License Family: other
Topics: machine-learning-algorithms, machine-learning, mooc, imooc, jupyter-notebooks
Last push: 2022-08-22T00:48:14+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": 3242, "days_push": 1473, "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 1290, forks 621 (observed 2026-08-28T04:04:15.448482+00:00)

## What it is
Official companion code repository for the Chinese MOOC course 'Play with Machine Learning Algorithms' (Python3 入门机器学习) by liuyubobobo. It contains Jupyter notebooks and scripts covering machine learning fundamentals, NumPy, Matplotlib, and core ML algorithms.

## Use cases
- learn machine learning algorithms from scratch in python
- find course code for python3 machine learning mooc
- practice numpy and matplotlib with jupyter notebooks
- understand supervised and unsupervised learning basics
- study machine learning with chinese-language tutorials

## When to choose
- you are a beginner wanting structured, course-style ML learning in Python
- you prefer Jupyter notebook walkthroughs with explanations
- you want to learn NumPy and Matplotlib alongside ML concepts

## When to avoid
- you need a production-ready machine learning library
- you require up-to-date course content or active support
- you need English-language materials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-visualization, developer-tools
- domain: machine-learning, tutorials, data-science, education
- platform: python, cross-platform
- tags: jupyter-notebooks, mooc, numpy, matplotlib, scikit-learn, course-materials, chinese

## Member repositories
- liuyubobobo/Play-with-Machine-Learning-Algorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:15.448482+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 2026-08-30T04:55:39.314836+00:00, confidence not recorded.
  - readme: https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms (fetched 2026-08-28T04:04:15.448482+00:00, sha 4da113fb9da8)
- Data as of 2026-08-30T08:39:29.467469+00:00.