dc.contributor.author |
Abdullha, Abir |
|
dc.contributor.author |
Abujar, Sheikh |
|
dc.date.accessioned |
2022-01-06T04:33:22Z |
|
dc.date.available |
2022-01-06T04:33:22Z |
|
dc.date.issued |
2021-03-16 |
|
dc.identifier.uri |
http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6649 |
|
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 |
Data visualization |
en_US |
dc.subject |
Supervised algorithms |
en_US |
dc.subject |
Regression model |
en_US |
dc.subject |
Prediction and analysis |
en_US |
dc.subject |
Machine learning algorithms |
en_US |
dc.subject |
K-nearest neighbors (KNN) algorithm |
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 |