Nyandwi/machine_learning_complete resource
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 1803
- days_rel: n/a
- days_push: 1076
- n_releases_24m: 0
Adoption not part of the score
5038 stars · 834 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A comprehensive open-source machine learning learning package containing 35 interactive Jupyter notebooks covering Python, data analysis, classical ML, deep learning, computer vision, and NLP. Notebooks are beginner-friendly, visual, and runnable in Colab or Deepnote.
Use cases
- learn machine learning from scratch with notebooks
- study deep learning for computer vision and nlp
- refresh python and pandas for data analysis
- understand classical ml algorithms like regression and clustering
- find a free structured ml curriculum
- learn feature engineering and data cleaning techniques
- get an introduction to mlops
When to choose
- you are a beginner wanting a comprehensive, hands-on ML course in notebooks
- you prefer learning with visuals and runnable Colab examples
- you want coverage from Python basics through deep learning in one place
When to avoid
- you need production-grade ML code or a maintained library
- you want the latest cutting-edge research or LLM-focused content
- you need an actively updated resource (last release was 2023)
Facets
learning-resource · maturity maintenance
machine-learning deep-learning data-science data-visualization nlp computer-vision machine-learning deep-learning data-science computer-vision tutorials python cross-platform jupyter-notebooks tensorflow scikit-learn pandas beginner-friendly mlops educational natural-language-processing
4 sources
- readme: https://github.com/Nyandwi/machine_learning_complete · fetched 2026-08-28 · fa6b56c2ea23
- homepage: https://nyandwi.com/machine_learning_complete/ · fetched 2026-08-29 · a000fa2c7c43
- site_page: https://nyandwi.com/machine_learning_complete/08_encoding_categorical_features · fetched 2026-08-29 · 3bfa081ebcc9
- site_page: https://nyandwi.com/machine_learning_complete/09_feature_scaling · fetched 2026-08-29 · 15e84dedf19a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Nyandwi/machine_learning_complete | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="Nyandwi/machine_learning_complete")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem