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Introduction to tractometry data analysis

This notebook assumes proficiency in python, numpy, pandas, and scikit-learn. We recommend looking up tutorials for these tools if you are unfamiliar with any of them, such as Neuroimaging and Data Science. Chapters 2, 3, 5 and 6 of this book are particularly useful if you do not have familiarity with git or python.

The provided notebook has the following python dependencies:

pip install pandas numpy afqinsight seaborn scikit-learn

Once you are done with this tutorial, if you are interested in learning more about interacting with MRI data more directly, these tutorials may be useful:

  1. https://carpentries-incubator.github.io/SDC-BIDS-IntroMRI/index.html

  2. https://carpentries-incubator.github.io/SDC-BIDS-dMRI/index.html

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