COVID-19-CaseStudy-and-Predictions

This repository is a case study, analysis, and visualization of COVID-19 Pandemic spread along with prediction models.

Open to All

If you want to contribute to the notebook or any feedback and suggestions are most welcome.

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Silent Features ================

• Several visualizations of a time-series dataset of covid19 cases.
• Case Study of the World and few countries, including India.
• Forecast of a number of global confirmed cases and deaths.

Dataset ====== https://github.com/CSSEGISandData/COVID-19
2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE This dataset is updated daily by Johns Hopkins CSSE.

Dataset consists of time-series data from 22 JAN 2020 to Till date (Updated on daily Basis).
Three Time-series dataset (Depricated):

• timeseries19-covid-Confirmed.csv (Link Raw File)
• timeseries19-covid-Deaths.csv (Link Raw File)
• timeseries19-covid-Recovered.csv (Link Raw File)

New Time-series dataset:

• timeseriescovid19confirmedglobal.csv (Link Raw File)
• timeseriescovid19deathsglobal (Link Raw File)

New Dataset (Updated more frequently by web crawler of JHU):

• casescountry.csv (country.csv"" target="_blank" rel="noopener">Link Raw File)

Installation ================

• Clone this repository:

git clone https://github.com/tarunk04/COVID-19-CaseStudy-and-Predictions

or click Download ZIP in right panel of repository and extract it.

• Open latest version of notebook in Jupyter Notebook.

Visualization Preview ================

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Prediction Preview ================ Global Conformed Case Prediction

Prediction table

Prediction using the ML model for both global confirmed cases and deaths.

To get full insights and visualization see the notebook on KAGGLE View Latest Version Notebook

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Authors

Tarun Kumar

Authors' Note:

The author has tried to get the best result using the dataset. The author is not responsible for any misuse. Read Licence carefully. If you want to contribute to the notebook or any feedback and suggestions are most welcome.

License

The MIT License, see the included, see the License file.