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COVID - 19 Outbreak Prediction using Machine Learning

INTRODUCTION TO  COVID 19

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus.

Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment.  Older people and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness.

CASE STUDY 

   Its 25th March Afternoon and India has reported its 9th deaths with 562 total confirmed cases due to COVID -19. Fresh cases from Manipur, Bihar, Gujrat and Madhya Pradesh have been reported by the Union Ministry of Health and Family Welfare.
Will india be able to tackle this pandemic or are we going to witness another Italy/S.Korea/Wuhan?

Agenda

we need a strong model that predicts how the virus could spread across different countries and regions. The goal of this task is to build that predicts the spread of the virus in the next 7 days.

Tasks to be performed:

  • Analyzing the present condition in India
  • Is this trend similar to Italy/S.Korea/Wuhan
  • Exploring the world wrote data
  • Forecasting the worldwide COVID-19 cases using Prophet

Importing the required libraries  


Here I import important libraries that we shall use throughout the model. Pandas is fast and flexible data analysis and manipulation. I also import visualization libraries such as Matplotlib, Seaborn, and Plotly.

Part 1: Analysing the present condition in India

The First COVID-19 case was reported on 30th Jan 2020 when a student arrived in Kerala, India from Wuhan, China. Just in the next 2 days, Kerela reported 2 more cases and since then the cases have only been rising.

Reading the Datasets

First, I going to start out bu reading our datasets by creating a data frame using Pandas.



Analyzing COVID19 Cases in India

Here we're going to play around with the data frame and create a new attribute called 'Total Case'.
This attribute is the total number of confirmed cases (Indian National + Foreign National )


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