UNCG-CSC-410 / covid-19-data-analysis

Analysis of COVID-19 Data

Coronavirus (Covid-19) Data Analysis

Table of Contents

• Introduction
• Technologies
• Data Source
• Goals
• Contributors

Introduction

This project is part of a Computer Science course (CSC 410, Big Data and Machine Learning) at University of North Carolina at Greensboro. Visit our website for the project at https://uncg-csc-410.github.io/covid-19-data-analysis/.

Technologies

• Python v3.7
• GeoPandas v0.3.0
• Pyshp v1.2.10
• Plotly-Geo v1.0.0
• Shapely v1.6.3
• Anaconda v3.4.3
• Jupyter Notebook v6.0.1
• Numpy v1.8.2
• Pandas v0.25.1

Data Source

Data files are collected from the following organizations:

• The New York Times
• NextStrain
• CoronaVirus COVID19 API

Goals

The goal is to apply recent advances in machine learning and data science to generate insights into the novel coronavirus COVID-19.

Contributors

• Team Members:

  • Sultan Al Bogami
  • Wahab Ehsan

• Instructor

  • Dr. Sami Khuri