A comprehensive Python course covering time series forecasting fundamentals, including data decomposition, ARIMA models, cross-validation techniques, and evaluation metrics. The course teaches how to build baseline models, incorporate exogenous features, generate prediction intervals, and apply practical forecasting techniques for predicting future trends.
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