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dc.contributor.author Abdullha, Abir
dc.contributor.author Abujar, Sheikh
dc.date.accessioned 2021-08-17T08:54:39Z
dc.date.available 2021-08-17T08:54:39Z
dc.date.issued 2021-03-16
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5983
dc.description.abstract Most of the countries are now affected by COVID19, COVID-19 is now the name of the biggest problem in the world. Bangladesh is also affected by COVID-19. The whole country is facing this virus as the biggest problem. So try to analyze the data day by day to understand the situation. We also try to use some model, algorithm, logic, analysis to find the solution to this current situation. We are also using some machine learning algorithms to predict the future situation. Machine learning supervised are Linear Regression Model and k-nearest neighbors (KNN) Algorithms. There are different types of data sets and algorithms. We have tried to explain these well. en_US
dc.language.iso en_US en_US
dc.publisher 2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), IEEE en_US
dc.subject Covid-19 en_US
dc.subject Analytical models en_US
dc.subject Machine learning algorithms en_US
dc.subject Machine learning en_US
dc.subject Predictive models en_US
dc.subject Prediction algorithms en_US
dc.subject Viruses (medical) en_US
dc.title Covid-19 en_US
dc.title.alternative Data Analysis and the Situation Prediction Using Machine Learning Based on Bangladesh Perspective en_US
dc.type Article en_US


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