https://github.com/emantahir2002/time-series-forecasting

Time series forecasting using 8 different models
https://github.com/emantahir2002/time-series-forecasting

arima exponential-smoothing hybrid lstm prophet sarima svr-regression-prediction

Last synced: 5 days ago
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Time series forecasting using 8 different models

• Host: GitHub
• URL: https://github.com/emantahir2002/time-series-forecasting
• Owner: EmanTahir2002
• Created: 2024-05-17T11:17:34.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-05-23T08:16:34.000Z (6 months ago)
• Last Synced: 2024-06-02T19:11:40.812Z (6 months ago)
• Topics: arima, exponential-smoothing, hybrid, lstm, prophet, sarima, svr-regression-prediction
• Language: Jupyter Notebook
• Homepage:
• Size: 7.92 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
- execute all the cells in the "modeling.ipynb" notebook first to initialize the models and send data to the database

- run flask app by executing "python app.py" in the terminal.

credits: SARIMA ONLY

https://www.kaggle.com/code/berhag/co2-emission-forecast-with-python-seasonal-arima