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# supervised-machine-learning-to-classify-the-IC-images-of-rs-fMRI-scans-as-RSN
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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)
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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)
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We will be able to:
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● Develop code to train a machine model on images for binary classification

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