https://github.com/michaelfromyeg/machine-learning-for-people-in-a-hurry
A workshop for Hack The North 2023 on introductory machine learning.
https://github.com/michaelfromyeg/machine-learning-for-people-in-a-hurry
Last synced: 3 months ago
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A workshop for Hack The North 2023 on introductory machine learning.
- Host: GitHub
- URL: https://github.com/michaelfromyeg/machine-learning-for-people-in-a-hurry
- Owner: michaelfromyeg
- License: mit
- Created: 2023-09-10T19:46:44.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-09T19:03:34.000Z (over 1 year ago)
- Last Synced: 2025-02-08T12:13:56.913Z (5 months ago)
- Language: HTML
- Size: 1.03 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Machine Learning for People in a Hurry
A workshop for Hack The North 2023 on introductory machine learning.
> Looking to make your hack-a-thon projects 'smart'? Curious about what makes ChatGPT tick? Learn the fundamentals and start making models in this hour long introductory machine learning workshop covering topics such as exploratory data analysis, model building, evaluation, and deployment.
## About
- [Hackpack](https://docs.google.com/document/d/e/2PACX-1vRJxERPH2VtPDvgxeVwyafGDIj1l0P24T6-kVIYMEDr7XktoiRT-2ted9Dg0PKEW-3coGvkEeiIpafd/pub), more about the workshop and its prerequisites
- [Slide Deck](https://docs.google.com/presentation/d/e/2PACX-1vQc5Xw7fccMDCK4cWE8GI4m21TUTYO5-GqZZn6X2oPAmsER3GsmR6AAIbcsLzlceigCK4Mh9vjklpJ_/pub?start=false&loop=false&delayms=30000)
A rough set of speaking notes and [outline](./docs/OUTLINE.md) is available under `docs/`. Hopefully, there will be a guide too.
Content adapted from `scikit-learn`'s "\[a\]n introduction to machine learning with `scikit-learn`" (available [here](https://scikit-learn.org/stable/tutorial/basic/tutorial.html)).
Here's the citation.
```tex
@article{scikit-learn,
title={Scikit-learn: Machine Learning in {P}ython},
author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
journal={Journal of Machine Learning Research},
volume={12},
pages={2825--2830},
year={2011}
}
```
...and [CPSC 330](https://github.com/UBC-CS/cpsc330-2023W1) offered at The University of British Columbia (which, I might add, is a pretty good school).
## Authors
- [@michaelfromyeg](https://github.com/michaelfromyeg)