GitHub / shridhar1504 / Milk-Production-Time-Series-Forecasting-Datascience-Project
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.
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Language: Jupyter Notebook
Size: 5.67 MB
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Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: 20 days ago
Topics: adf, arima-model, augmented-dickey-fuller-test, data-analysis, data-analytics, data-science, data-visualization, eda, exploratory-data-analysis, machine-learning, machine-learning-algorithms, python, python3, residuals, sarimax, seasonality, time-series, time-series-forecasting, trends