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Time Series Analysis and Forecasting
Patterns that exist in time series influence the choice chosen for the Forecasting Method. (MAE, MSE, MAPE, Moving Average) The method is chosen based on the model that minimizes error.
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*Can be influenced by trends such as seasonality*
Times Series Data is a "sequence of observations of variable measured at successive points in time or over successive periods of time"
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Example: weekly sales
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Then if the pattern of the time series is expected to continue the forecasting method can be chosen accordingly.
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