COVID-19: Data Analysis and the situation Prediction Using Machine Learning Based on Bangladesh perspective

Abir Abdullha, Sheikh Abujar
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引用次数: 6

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.
COVID-19:基于孟加拉国视角的数据分析和使用机器学习的情况预测
大多数国家现在都受到COVID-19的影响,COVID-19现在是世界上最大的问题。孟加拉国也受到COVID-19的影响。整个国家都面临着这个病毒的最大问题。所以试着每天分析数据来了解情况。我们也尝试使用一些模型,算法,逻辑,分析来找到解决这个现状的方法。我们也在使用一些机器学习算法来预测未来的情况。机器学习的监督是线性回归模型和k近邻算法。有不同类型的数据集和算法。我们已经试图很好地解释这些。
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