• As per Wiki Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was first identified in 2019 in Wuhan, the capital of China's Hubei province, and has since spread globally, resulting in the ongoing 2019–20 coronavirus pandemic.
• The virus had caused a pandemic across the globe and spreading/affecting most of the nations/lives.

• In this tutorial, we'll perform analysis on COVID-19 dataset and visualize the trends of virus spread in various countries
• Tutorial is divided into below parts
  • Part-1: COVID-19 Data Analysis using .Net DataFrame API
  • Part-2: COVID-19 Prediction using ML.Net framework
• We'll leverage recently introduced support for C# in Jupyter Notebook

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1. Global: Confirmed Vs Recovered Vs Deaths

   

2. Confirmed cases : Top 5 Countries

   

3. Recovered cases: Top 5 Countries

   

4. Deaths: Top 5 Countries

   

5. India : Confirmed Vs Recovered Vs Deaths

   

6. Prediction : Forecast of deaths overs 7 days

   

7. World map: Confirmed Cases