https://github.com/alinababer/covid19-timeseries-cases-and-deaths-forecasting-

This study is based on confirmed cases and deaths collected from Pakistan. Results demonstrate the promising potential of TIME SERIES model in forecasting COVID-19 cases and highlight the superior performance of the time series compared to the LSTM.we apply AI-based forecasting models such time series ARIMA, LSTM, prophet and VAR.
https://github.com/alinababer/covid19-timeseries-cases-and-deaths-forecasting-

arima covid-19 data-analysis data-science data-visualization fbprophet forecasting lstm rnn time-series var vectorautoregression

Last synced: 28 days ago
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This study is based on confirmed cases and deaths collected from Pakistan. Results demonstrate the promising potential of TIME SERIES model in forecasting COVID-19 cases and highlight the superior performance of the time series compared to the LSTM.we apply AI-based forecasting models such time series ARIMA, LSTM, prophet and VAR.

• Host: GitHub
• URL: https://github.com/alinababer/covid19-timeseries-cases-and-deaths-forecasting-
• Owner: AlinaBaber
• Created: 2023-02-09T20:16:01.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-09T20:16:49.000Z (almost 2 years ago)
• Last Synced: 2023-09-01T01:00:19.367Z (over 1 year ago)
• Topics: arima, covid-19, data-analysis, data-science, data-visualization, fbprophet, forecasting, lstm, rnn, time-series, var, vectorautoregression
• Language: Jupyter Notebook
• Homepage:
• Size: 3.3 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:

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