A learning-focused, educational ML toolkit with clean implementations and explainability.
Project description
eduML
A minimal Machine Learning library built from scratch using NumPy and Pandas.
Structure
- Supervised Learning
- Unsupervised Learning
- Model Selection & Cross-Validation
- Metrics
- Example Notebooks
Setup
bash init_eduMl.sh
Next Steps
Start implementing algorithms in Phase 2.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
eduml-1.0.1.tar.gz
(39.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
eduml-1.0.1-py3-none-any.whl
(50.6 kB
view details)
File details
Details for the file eduml-1.0.1.tar.gz.
File metadata
- Download URL: eduml-1.0.1.tar.gz
- Upload date:
- Size: 39.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
077628e6e77938623014880ab4a6b8bacb1ba5671c418f0ca466992bb96c8539
|
|
| MD5 |
7d97d42a0a488926a9b4abd628b107e2
|
|
| BLAKE2b-256 |
2c623543ba46e9b2ac9c491d2f822d291d8db53d166c9c0bdec4c1523b1c428a
|
File details
Details for the file eduml-1.0.1-py3-none-any.whl.
File metadata
- Download URL: eduml-1.0.1-py3-none-any.whl
- Upload date:
- Size: 50.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
72770623653ba8cc5086e7b5301fdc6426103ca44a7035b2e1365dfc649f456b
|
|
| MD5 |
a15408417bc687e11e3a52129b6cc213
|
|
| BLAKE2b-256 |
5fae007c6669f0c2e394486e72420e4fee254eadca28e9519d8c3a2567f419b8
|
