Matthew Fam

Data analysis sample, using machine learning in Python, from my undergraduate thesis.

This is a sample of code from my undergraduate Honors Neuroscience thesis at Dartmouth College, advised by Professor Michael Casey and Professor Richard Granger: "Comparing Decoding Approaches for Classfying Musical Genre from Blood-Oxygen-Level Dependent (BOLD) Functional Magnetic Resonance Imaging (fMRI)". It includes Python code written in Jupyter and run on Dartmouth's Discovery cluster environment, maksing a set of brain data and running multivariate pattern analysis (MVPA) on those masked brain images.

This code is intentionally uploaded without a license, meaning that default copyright laws apply. The author, Matthew Fam, retains all rights to the source code and no one may reproduce, distribute, or create derivative works from the included work without explicit consent. For permission to use the code, please reach out to the owner at [email protected].