MAIN-training-nilearn-ml

To launch an online version:

To install locally:

Download and install python with the full-suite 64-bit Anaconda distribution
Download or clone the Intro to ML repository.
Install the necessary packages: pip install -r requirements.txt
Test everything by opening each of the .ipynb notebooks and running the first few cells. This will download data automatically. The fourth notebook in particular downloads ~1GB of data.

Name		Name	Last commit message	Last commit date
Latest commit History 41 Commits
fig_code		fig_code
01_intro_ml.ipynb		01_intro_ml.ipynb
01_intro_ml_slides.odp		01_intro_ml_slides.odp
02_algorithm_examples_eigenfaces.ipynb		02_algorithm_examples_eigenfaces.ipynb
02_algorithm_examples_pca.ipynb		02_algorithm_examples_pca.ipynb
03_intro_to_nilearn.ipynb		03_intro_to_nilearn.ipynb
04_functional_connectivity_with_nilearn.ipynb		04_functional_connectivity_with_nilearn.ipynb
MAIN2019_BASC064_subsamp_features.npz		MAIN2019_BASC064_subsamp_features.npz
README.md		README.md
requirements.txt		requirements.txt

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