ml-from-scratch-book / code
Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
Why this job: says: from scratch; topics: roadmap
What it does
Companion code repository for Machine Learning From Scratch.
Get started
git clone https://github.com/ml-from-scratch-book/code.git
cd code
pip install -r requirements.txt - Maintenance
- Active
- Last commit 3 months ago
- Stars
- 325
- +3 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 99%
- Python 1%
Topics
- artificial-intelligence
- data-science
- deep-learning
- education
- from-scratch-implementation
- from-scratch-in-python
- from-scratch-ml
- machine-learning
- machine-learning-algorithms
- ml
- neural-network
- python
Project record
- JobLists and guides
- StatusListed
- Commits18
- Forks33
- Watching2
- Stars in 28 days+18
- CreatedApr 29, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026