Time Series Forecasting

A list of time variables (daily, monthly, quarterly, etc.) that are assigned a numerical value. They are often used by economists in predicting future movements in the variable based on known past events. Forecasting is used to predict data points before they are measured meaning businesses can extend historical values to forecast future data. One example of time series forecasting would be predicting the popularity of a specific product based on past seasonal sales of a similar product.

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