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Timeseries based Machine Learning Model to predict the affection of COVID19 in Sri Lanka. Used Python & Jupyter Notebook

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Prediction of COVID19 Affection in Sri Lanka using Time Series Forecasting

A Time Series Based Machine Learning model for the prediction of COVID19 Affected, Recovered & Deaths counts in Sri Lanka.

Datasets

Time Series
Cumulative Count

Technologies

  • Python
  • Jupyter Notebook
  • Google Co-Lab

Algorithm

Time Series Analysis is one of the Machine Learning Prediction Technique. Prophet is a forecasting model which allows to deal with multiple seasonalities. It’s an open source library released by Facebook Data Science team.

Author

Ahamed Safnaj

License

This project is licensed under the MIT License - see the LICENSE.md file for details

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Timeseries based Machine Learning Model to predict the affection of COVID19 in Sri Lanka. Used Python & Jupyter Notebook

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