Prediction and Analysis of Covid-19 with various Machine Learning algorithms

Sarthak Maggu, Vijander Singh
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引用次数: 1

Abstract

The world was stuck by a deadly virus last year, which stopped the world and changed it completely. The virus was given the name “Corona.” It has had an everlasting effect on human lives which has caused a lot of people to study about it, following the trend we have chosen “Prediction and analysis of Covid - 19 with different ML algorithms and comparative analysis” as the title of this paper. The title of the paper is self-explanatory to explain what the paper is about and what technology will be used in the paper. The paper will use data cleaning and plotting techniques to analyse the impact and effect of Covid on human lives and various algorithms to predict how vulnerable the person is to the virus / predict whether a person suffered from Covid or not based on various parameters. The main ingredient of the paper will be the data on which the model will be built, will be collected through various Google forms or through open source data websites such as Kaggle. The paper would be divided into various parts, which will include data collection, data cleaning, data plotting etc. After cleaning of data and building of models using various ML algorithms, findings will be reported in a form of report using various plots to favour the findings of the various models.
用各种机器学习算法预测和分析Covid-19
去年,世界被一种致命的病毒所困扰,这种病毒使世界停滞不前,并彻底改变了世界。这种病毒被命名为“冠状病毒”。它对人类生活产生了持久的影响,引起了很多人对它的研究,按照这种趋势,我们选择了“用不同的ML算法和比较分析预测和分析Covid - 19”作为本文的标题。论文的标题是不言自明的,说明了论文是关于什么和什么技术将在论文中使用。本文将使用数据清理和绘图技术来分析Covid对人类生活的影响和影响,以及各种算法,以预测人们对病毒的脆弱性/根据各种参数预测一个人是否患有Covid。论文的主要成分将是模型所依据的数据,这些数据将通过各种谷歌表格或通过开源数据网站(如Kaggle)收集。本文将分为多个部分,包括数据收集、数据清理、数据绘制等。在使用各种ML算法清理数据和建立模型后,将使用各种绘图以报告的形式报告发现,以支持各种模型的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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