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DAEN 430

Forecasting Using Machine-Learning Approaches

Texas A&M University 3 credits DAEN

Course Description

Forecasting principles and methods, including point and interval forecasts; accuracy; statistical methods in the context of forecasting, including exponential smoothing and Auto Regressive Integrated Moving Average (ARIMA), exogenous variables, seasonality and trends; tree-based models for predictions, prophet models, probabilistic forecasts and predictive and prescriptive analytics. Prerequisites: Grade of C or better in DAEN 321; junior or senior classification.

Code
DAEN 430
Credits
3
Subject
DAEN

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