[TUTORIAL] Time Series Decomposition (Patreon)

This tutorial will teach you how you can extract valuable information from time series, such as your sold copies on Steam or your Google Analytics. The previous part of this series introduced a technique called moving average, which has been used to attenuate the effects of noise in a signal. When signals represent an event that evolves over time, we are in front of a time series. Classical decomposition is a technique that attempts to find the main trends within time series.

• Introduction
• Time Series (De)Coposition
• Trend Component Estimation
• Seasonal Component Estimation
• Irregular Component Estimation
• Summary
• Conclusion

As always, thank you for your generous support! ♥