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.

2m read timeFrom freecodecamp.org
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