TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to analyze temporal data by dividing it into its core components. By uncovering these distinct patterns, we can gain deeper insights into the underlying dynamics of a time series. This process typically involves identifying trends, seasonality, and random fluctuations. Understanding these parts