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his  ork can also be divided among various team members involved in this task.
                                                                                                Experiential Learning

                        Video Session


                   can the    code or visit the follo ing link to  atch the video  Introduction to Decomposition
                  https      .youtube.com  atch v r s p   omg
                  After  atching the video, ans er the follo ing questions
                   hat is decomposition









            Decompose T ime S er ies Data into T r end
            A time series record tracks the movement of the selected data points, such as the price of an asset, over a given period
            of time.  ime series decomposition is a fundamental step in time series analysis because it helps in understanding
            the different contributing factors in the data and can aid in making forecasts or predictions. It considers a series as a
            combination of level, trend, seasonality and noise components.
              ample of a time series chart is given belo





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             e t, time series decomposition is a process of breaking do n a time series into the follo ing components
                Level:  he average of the series.

                Trend: Any increasing or decreasing value in the series.
                Seasonality: Any repeating short term cycle in the series.
                Noise: Any random variation in the series.
            Decomposition is typically used for time series analysis, and as a tool for analysis, it may be used to help forecasting
            models.
              o methods e ist for mi ing time series elements  Additive and Multiplicative.  ime series decomposition require a
            model type to be specified for the seasonal component. Additive is the default, but you may easily ad ust that.





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