Time series forecasting is a particular way of handling date-time information in model building. It takes into account the sequence in which events occur. This technique is essential when modeling regressions where factors such as seasonality, weather conditions, and economic indicators may be predictive of future outcomes. Consequently, sales forecasts and marketing projections are classic use cases for time series forecasting. Time series analysis utilizes algorithms that are specially tuned to predict using relative date-time information.
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