Time Series Decomposition: Unlocking Temporal Patterns
Time series decomposition is a powerful technique used to analyze temporal data by splitting it into its constituent components. By revealing these distinct patterns, we can gain enhanced insights into the underlying dynamics of a time series. This method typically involves identifying trends, seasonality, and noise. Understanding these elements al