In our previous article, "Minimum Implementation for Rule-of-Thumb Ordering," we introduced how to implement rule-of-thumb methods targeting a MAPE (Mean Absolute Percentage Error) of around 30%.

This is the collection of notebooks for the course Time Series Analysis with Python. You can view and execute the notebooks by clicking on the buttons below.

The chapter intuitively explains what autocorrelation function (ACF) and partial autocorrelation function (PACF) plots are and how they are used, and then moves in to training, diagnosing, and ...