Student Grade Prediction

Kumar, Vivek (2021) Student Grade Prediction. Masters thesis, Dublin, National College of Ireland.

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Abstract

The goal of this paper is to put forth the analysis and results obtained by me while trying to answer the question of predicting the students grade using the chosen dataset which is ’Student Alcohol Consumption’. The data for this dataset was obtained in a survey of students of a secondary school. This dataset includes information about demographic and social factors. In this project we have tried to predict the final grades of the students. For prediction we have used 5 machine learning algorithms which are Multiple Regression, Stepwise Regression, Logistic Regression, Naive Bayes and K nearest Neighbour. A detailed report of all the analysis and results that I got by using the Machine Learning techniques along with their interpretations and discussions can be found in the following sections.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Student Alcohol Consumption; Multiple Regression; Stepwise Regression; Logistic Regression; Naive Bayes and K Nearest Neighbour
Subjects:	L Education > LB Theory and practice of education > LB1603 Secondary Education. High schools Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Clara Chan
Date Deposited:	06 Dec 2021 13:33
Last Modified:	06 Dec 2021 13:33
URI:	https://norma.ncirl.ie/id/eprint/5180

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