Uploaded August 2020 | Updated September 2026, 2 weeks ago
Mix of presentation and hands-on to get acquainted with the main machine learning concepts and apply them to neuroimaging datasets.
This traintrack session aims at providing an overview of the main machine learning concepts and apply them “live” in a dedicated Jupyter notebook. The main prerequisite is familiarity with Python and git, but no previous machine learning knowledge is required (this is an introduction to machine learning!). In addition to a toy dataset we will also explore real neuroimaging datasets.
Code: github.com/mick-d/introml-sklearn-nilearn
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OHBM Open-Science special interest group
- Website: https://ossig.netlify.app/
- Twitter: twitter.com/OhbmOpen
- OHBM brainhack 2020: ohbm.github.io/hackathon2020
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License: CC-BY
---
Music: bensound.com
Mix of presentation and hands-on to get acquainted with the main machine learning concepts and apply them to neuroimaging datasets.
This traintrack session aims at providing an overview of the main machine learning concepts and apply them “live” in a dedicated Jupyter notebook. The main prerequisite is familiarity with Python and git, but no previous machine learning knowledge is required (this is an introduction to machine learning!). In addition to a toy dataset we will also explore real neuroimaging datasets.
Code: github.com/mick-d/introml-sklearn-nilearn
---
OHBM Open-Science special interest group
- Website: https://ossig.netlify.app/
- Twitter: twitter.com/OhbmOpen
- OHBM brainhack 2020: ohbm.github.io/hackathon2020
---
License: CC-BY
---
Music: bensound.com










