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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.
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 5.67 MB
Dependencies:
0
Created: 10 months ago
Updated: 10 months ago
Last pushed: 10 months ago
Last synced: 4 months 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
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