TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to examine temporal data by splitting it into its core components. By revealing these distinct patterns, we can gain deeper insights into the underlying dynamics of a time series. This process typically involves recognizing trends, seasonality, and noise. Understanding these components allows f