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Early Prediction of Students' Result Using Machine Learning Technique

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dc.contributor.author Pulok, Md. Amirul Hasan
dc.contributor.author Islam, Sumayia
dc.contributor.author Jemi, Israt Jahan
dc.date.accessioned 2022-02-15T04:22:35Z
dc.date.available 2022-02-15T04:22:35Z
dc.date.issued 2021-06-01
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7168
dc.description.abstract In this century, educational institutes have stored a lot of student data which is increasing constantly. This data contains various attributes like student grades, school, and family-related features. It is needed to analyze those data to predict students’ performance for the development in the field of education. To evaluate this study, we have applied Machine Learning Algorithms like Simple Linear Regression, Support Vector Regression, Random Forest Regression. This research also aims to prove how different factors and variables affect the predicted student's success rate. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Data preprocessing en_US
dc.subject Visualization en_US
dc.subject Correlation matrix en_US
dc.subject Descriptive statistics en_US
dc.subject Scatter plot en_US
dc.subject Train dataset en_US
dc.subject Linear regression en_US
dc.subject Machine learning en_US
dc.subject Data mining en_US
dc.title Early Prediction of Students' Result Using Machine Learning Technique en_US
dc.type Article en_US

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