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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shridhar1504%2FMilk-Production-Time-Series-Forecasting-Datascience-Project

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 5.67 MB
Dependencies parsed at: Pending

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

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