https://github.com/agahkarakuzu/introml-book
A Jupyter Book rendering of Nilearn for machine learning tutorials
Science Score: 10.0%
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○Scientific vocabulary similarity
Low similarity (3.9%) to scientific vocabulary
Last synced: 9 months ago
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Repository
A Jupyter Book rendering of Nilearn for machine learning tutorials
Basic Info
- Host: GitHub
- Owner: agahkarakuzu
- License: mit
- Default Branch: master
- Homepage: http://brainhack101.github.io/introML-book
- Size: 28.1 MB
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of brainhack101/introML-book
Created about 6 years ago
· Last pushed about 7 years ago
https://github.com/agahkarakuzu/introML-book/blob/master/
# Machine Learning with NilearnThis is an introductory tutorial for using [Nilearn](http://nilearn.github.io) to explore machine learning with neuroimaging data. It was developed for use at the [Montreal AI and Neuroscience (MAIN)](http://www.crm.umontreal.ca/2018/MAIN2018/index_e.php) conference in December 2018. It is rendered here using [Jupyter Book](https://github.com/jupyter/jupyter-book), with compute infrastructure provided by the [Canadian Open Neuroscience Platform (CONP)](http://conp.ca). ## Acknowledgements This tutorial was initially presented by [Pierre Bellec](https://simexp.github.io/lab-website/), [Elizabeth DuPre](https://elizabeth-dupre.com), [Greg Kiar](http://gkiar.me), and [Jake Vogel](https://scholar.google.ca/citations?user=1m6yqlwAAAAJ&hl=en).
Owner
- Name: Agah
- Login: agahkarakuzu
- Kind: user
- Location: Montreal
- Company: @neuropoly @qMRLab @neurolibre
- Website: https://agahkarakuzu.github.io
- Twitter: agahkarakuzu
- Repositories: 114
- Profile: https://github.com/agahkarakuzu
This is an introductory tutorial for using [Nilearn](http://nilearn.github.io) to explore machine learning with neuroimaging data.
It was developed for use at the [Montreal AI and Neuroscience (MAIN)](http://www.crm.umontreal.ca/2018/MAIN2018/index_e.php) conference in December 2018.
It is rendered here using [Jupyter Book](https://github.com/jupyter/jupyter-book),
with compute infrastructure provided by the [Canadian Open Neuroscience Platform (CONP)](http://conp.ca).
## Acknowledgements
This tutorial was initially presented by [Pierre Bellec](https://simexp.github.io/lab-website/),
[Elizabeth DuPre](https://elizabeth-dupre.com),
[Greg Kiar](http://gkiar.me),
and [Jake Vogel](https://scholar.google.ca/citations?user=1m6yqlwAAAAJ&hl=en).