/COVID-19-CaseStudy-and-Predictions

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

Primary LanguageJupyter NotebookMIT LicenseMIT

COVID-19-CaseStudy-and-Predictions License

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.

Kaggle

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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):

New Time-series dataset:

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

  • cases_country.csv (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

COIVD-19-World Daily Cases Trend Comparison with India (confirmed)

Prediction Preview

Global Conformed Case Prediction Prediction Curve-Confirmed

Prediction table

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

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

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.