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This project uses time series forecasting to predict future milk production. The data used in this project is monthly milk production data from January 1962 to December 1975. The ARIMA (autoregressive integrated moving average) model is used to forecast the milk production. The model is evaluated using various metric.
This project uses time series forecasting to predict future milk production. The data used in this project is monthly milk production data from January 1962 to December 1975. The ARIMA (autoregressive integrated moving average) model is used to forecast the milk production. The model is evaluated using various metric.
Time series models [TSM] allow us to discover the trend and behavior of data occurring in several chronologically ordered time measurements. We describe the basic steps to select and perform a TSM applied to hourly temperature data for the year 2018 (Bogota-Suba).