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Jupyter Notebook Python
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fig_code
01_intro_ml.ipynb
01_intro_ml_slides.odp
02_algorithm_examples_eigenfaces.ipynb
02_algorithm_examples_pca.ipynb
03_intro_to_nilearn.ipynb
04_functional_connectivity_with_nilearn.ipynb
MAIN2019_BASC064_subsamp_features.npz
README.md
requirements.txt

README.md

MAIN-training-nilearn-ml

To launch an online version: Binder

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.
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