Benchmark for Mexico's Covid19 official Covid19 patient's data.
Through this notebook you can explore and analyze the official data.
The notebook revolves around the Covid python class described in Covid_suite.py
Documentation can be found in this notebook.
For most of the notebook you just need:
- python3.6 >=
- ipython==7.13.0
- pandas==1.0.3
- numpy==1.18.1
- matplotlib==3.1.3
- joblib==0.15.1
- seaborn==0.10.1
There is an implementation of a classifier that doesn't work because there is no enough data to discriminate clearly. You can, however, run it to see the ROC curves. A quick explanation about why it doesn't work is in the documentation.
To run that classifier you'll need
- xgboost==0.90
- sklearn==0.0
The database updates daily from the official page.
To install just download or fork this repository, open jupyter notebook on the container folder and run either the documentation notebook or the main explorer notebook.
Jonathan Marín - Github