TY - RPRT A1 - Buntel, Ellery AB - NIRS Automated Machine Learning (NAML), is a system that automates the running of time series machine learning algorithms on neural data [1]. This project expanded NAML by adding seven new algorithms, implementing manifold validation, and giving the user the ability to balance their datasets. NAML 2.0 gives more precise results than its predecessor and can still be utilized without expertise in machine learning. NAML 2.0 will allow researchers to classify brain states quickly, easily, and consistently. NAML 2.0 has been benchmarked on neural data for both accuracy and speed. DA - 2020/12/11 DB - Digital WPI DP - Worcester Polytechnic Institute ID - E-project-121120-141220 ID - 5016 KW - Machine Learning KW - Python KW - Computer Science KW - BCI KW - Neuroscience L1 - https://digital.wpi.edu/show/0p096975k LK - https://digital.wpi.edu/ PB - Worcester Polytechnic Institute PY - 2020 T1 - Brain Wave Analysis UR - https://digital.wpi.edu/show/9306t219m ER -