Seasonal Patterns
Explore how seasonal patterns influence time series data by learning to decompose series into trend, seasonality, and residuals using additive and multiplicative models. Understand how these models affect data interpretation and forecasting accuracy in Python.
We'll cover the following...
We'll cover the following...
Understanding seasonal patterns
Seasonal patterns (or seasonality) refer to periodical patterns in the data. Weather data, for example, is very seasonal, with average temperatures tending to be close for the same month, regardless of the year.
Now that we know how to decompose a time series into its fundamental components using ...