Covid-19 Prediction in India using Machine Learning

Vipul Kumar; Sweta Singh | Sweta Joshi | Madhu Kirola; Sarfraj Alam

Title:
Covid-19 Prediction in India using Machine Learning

Authors:
Sarfraj Alam | Vipul Kumar | Sweta Singh | Sweta Joshi | Madhu Kirola

Cite This Article :

Sarfraj Alam | Vipul Kumar | Sweta Singh | Sweta Joshi | Madhu Kirola "Covid-19 Prediction in India using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology – 2021, May 2021, pp.8-12, URL: https://www.ijtsrd.com/papers/ijtsrd42458.pdf

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Abstract :
Various computational models are used around the world to predict the number of infected individuals and the death rate of the COVID-19 outbreak [3]. Machine learning-based models are important to take proper actions. Due to the ample of uncertainty and crucial data, the aerodynamic models have been challenged regarding higher accuracy for long-term prediction of this disease [1]. By researching the COVID19 problem, it is observed that lockdown and isolation are important techniques for preventing the spread of COVID-19 [2]. In India, public health and the economical condition are impacted by COVID-19, our goal is to visualize the spread of this disease [5]. Machine Learning Algorithms are used in various applications for detecting adverse risk factors. Three ML algorithms we are using that is Logistic Regression (LR), Support Vector Machine (SVM), and Random Forest Classifier (RFC). These machine learning models are predicting the total number of recovered patients as per the date of each state in India [8].

Keywords :
Data Analysis and Visualization, Logistic Regression, Support Vector Machine, Random Forest Classifier

Publication Details:

Unique Identification Number : IJTSRD42458

Published In : Special Issue | International Conference on Advances in Engineering, Science and Technology – 2021, May 2021

Page Number(s) : 8-12

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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