https://github.com/wlawt/covid19-project
Kaggle DS4C Challenge - ML Forecasting for COVID-19 Reporting Figures
https://github.com/wlawt/covid19-project
Last synced: 4 months ago
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Kaggle DS4C Challenge - ML Forecasting for COVID-19 Reporting Figures
- Host: GitHub
- URL: https://github.com/wlawt/covid19-project
- Owner: wlawt
- License: mit
- Created: 2020-04-11T01:12:19.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-26T04:36:11.000Z (almost 5 years ago)
- Last Synced: 2025-01-08T08:18:57.056Z (5 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 27.4 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## Kaggle COVID-19 Challenge:
Data Science for COVID-19 [(DS4C)](https://www.kaggle.com/kimjihoo/coronavirusdataset)
### What it does
This repo explores the impact/spread of COVID-19 in Canada. Intentions were to provide some visualizations of time-series data,
forecast the total number of cases/recoveries/deaths in Canada, and to predict the number of days a patient will spend recovering
in the hospital (using the DS4C dataset).### Acknowledgements
- [DS4C Kaggle Korea Dataset](https://www.kaggle.com/kimjihoo/coronavirusdataset)
- [John Hopkins University Dataset](https://github.com/CSSEGISandData/COVID-19)
- [CalTech CS156b Dataset Collection](https://github.com/quantummind/caltech_covid_19_modeling)
- [therealcyberlord's Kaggle Notebook](https://www.kaggle.com/therealcyberlord/coronavirus-covid-19-visualization-prediction)### Directory Structure
```
/datasets
/caltech_covid_19_modeling
/korea_dataset
/COVID19
/img
/main
COVID-19 Notebook.ipynb
.gitignore
README.md
```### Running the repo
#### Downloading the source code & datasets
```
git clone https://github.com/wlawt/covid19-project.git
cd covid19-project/main
```#### Running the model
We suggest to consider additional factors for the linear regression models.
```
COVID-19 Notebook.ipynb
```### Forecasting graphs
#### Total cases/recoveries/deaths - 2 week forecast (without poly preprocessing)
#### Total cases/recoveries/deaths - 2 week forecast (with poly preprocessing)
#### Newly Infected vs. Newly Recovered in Canada & Recovery rate vs Death rate
