TIME SERIES DECOMPOSITION: UNLOCKING TEMPORAL PATTERNS

Time series decomposition is a powerful technique used to examine temporal data by dividing it into its core components. By uncovering these distinct patterns, we can gain enhanced insights into the underlying trends of a time series. This process typically involves detecting trends, seasonality, and noise. Understanding these components allows for