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Experiments for Model 2.0

Uses proprietary USRA flight data to train an XGBoost regressor model to predict estimated time of arrival (ETA) as a residual from the actual time of arrival. Also includes support modules for pulling data, processing data, and evaluating value of prediction task (e.g. cancellation rate improvement).

360 Video player for Caves

For CSUSB Pycharm research group

This JupyterHub is for Dr. Salloum's group

For CSUSB Pycharm research group