Tag: machine-learning
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Using EEG Signals & ML to Identify Genetic Predisposition to Alcoholism
Abstract An implementation and analysis of various machine learning algorithms applied to electroencephalography (EEG) data. The data was collected by the Neurodynamic Laboratory of Colorado University, Boulder, and is hosted by the University of California, Irvine. We explored several algorithms, including Neural Networks, Random Forest, and Support Vector Machines, to gain insights from the EEG…
