TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to dissect temporal data by segmenting it into its constituent components. By exposing these distinct patterns, we can gain improved insights into the underlying trends of a time series. This approach typically involves recognizing trends, seasonality, and noise. Understanding these parts allow