Ross ROSS = Recommend OSS · open-source software intelligence for agents

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

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。 observed · 2026-08-28

github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

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: 3242
  • days_rel: n/a
  • days_push: 1473
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1290 stars · 621 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

learning-resource · maturity maintenance

machine-learning data-visualization developer-tools machine-learning tutorials data-science education python cross-platform jupyter-notebooks mooc numpy matplotlib scikit-learn course-materials chinese

1 source

Member repositories

For agents

markdown · JSON · MCP: product_card(name="liuyubobobo/Play-with-Machine-Learning-Algorithms")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem