Time series forecasting involves detecting trends and periodic patterns (seasonality) in past data and then projecting such patterns into the future. It might be univariate (considering only the patterns in the forecast variable) or multivariate (also considering patterns in parallel time series).
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Univariate and Multivariate Time Series Forecasting - Business Intelligence with Data Mining | NatokHD