This project is done as a Capstone Project for Udacity's Data Science Nano Degree Program.
SARS-CoV-2 Structure(Source: Scientific Animations under CC License)
The medium article can be found here
The COVID-19 pandemic also known as coronavirus pandemic is the ongoing outbreak of coronavirus disease (COVID-19). It is caused by a coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). This project presents analysis, visualizations and predictions on COVID-19 pandemic data.
As there are many data sources available online, the one used in this blog is provided by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Note that this data is updated daily
- Jupyter (to run notebooks)
- Pandas (for data loading and data processing)
- NumPy (for computing)
- Matplotlib (for visualizations)
- Scikit-learn (for predictions)
COVID19_Analysis.ipynb - contains all the code for this project. Run this code using Jupyter.
Three variants of Linear Regression are used in this project for predicting the count of future cases.
Note: This is just a simple model and the results are not accurate. For more accurate predictions, try using other regression or deep learning techniques.