Easy and comprehensive assessment of predictive power, with support for neuroimaging features
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Updated
Mar 21, 2024 - Python
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
we will use supervised learning techniques to classify the independent component (IC) images of resting state functional magnetic resonance imaging (rs-fMRI) scans as Noise and Resting state network (RSN)
Final project for the "Python for (open) Neuroscience" course (2024).
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