Prediction and Spread Visualization of Covid-19 Pandemic Using Machine Learning

• DOI: 10.20944/preprints202005.0147.v1
• Publication Date: 2020-05-11T10:43:18Z
• Authors: Anit N Roy; Jais Jose; Aswin Sunil; Neha Gautam; Deepa Nathalia; Arjun Suresh
• Keywords: Pandemic; Intuition; Globe; 2019-20 coronavirus outbreak

The sudden pervasive of severe acute respiratory syndrome Covid-19 has been leading the universe into a prominent crisis. It influenced each zone, for example, industrial area, horticultural Public transportation, economic and so on. So as to see how affected globe, we conducted an investigation characterizing effects pandemic over world using Machine Learning (ML) method. Prediction is typical data science exercise that helps administration with function planning, objective setting, anomaly detection. We propose additive regression model interpretable parameters can be naturally balanced by experts domain intuition about time series. focus on global beginning from 22nd January 2020, till 26th April 2020 performed dynamic map visualization expansion globally date wise predicting spread virus all countries continents. major advantages this work include accurate analysis country-wise well province/state-wise confirmed cases, recovered deaths, prediction viral attack far it expanding globally.