Time Series Decomposition for Accurate Forecasting
Time series decomposition is a powerful technique used to break down a time series into its constituent components. These components typically include trend, seasonality, and residuals/noise. By separating these components, analysts can gain a deeper understanding of the underlying patterns driving website the data. This decomposition allows for mo