Implementation of Machine Learning Algorithms for Predictive Analysis about Mortality for Covid-19 Data Sets
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Abstract
Covid-19, a viral global pandemic, gave number of question marks for various machine learningbased industries.Collecting data and related solutions for infected crowd worldwide is a biggest challenge today. This article represents contribution of machine learning to fight against COVID-19. Itreflects various factors and other related work that could determine the help of machine learning in this current scenario. In this article decision tree and linear regression, supervised learning algorithms of machine learning are used to calculate various predictions with the help of attributes of collected data. Python 3.8.0 is used for the implementation and model functions are used for data validation, prediction and accuracy.
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Shagufta Praveen, Dr. Mazhar Afzal, Aamir Khan. (2021). Implementation of Machine Learning Algorithms for Predictive Analysis about Mortality for Covid-19 Data Sets. Annals of the Romanian Society for Cell Biology, 7602–7607. Retrieved from https://annalsofrscb.ro/index.php/journal/article/view/2302
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