Student semester marks prediction using linear regression algorithms in machine learning
Department of Information Technology, Bharathiar University, Coimbatore - 641046.
Research Article
World Journal of Advanced Research and Reviews, 2023, 18(01), 469–475
Article DOI: 10.30574/wjarr.2023.18.1.0591
Publication history:
Received on 27 February 2023; revised on 09 April 2023; accepted on 11 April 2023
Abstract:
Student Mark prediction using the previous semester's internal marks and semester marks project using a multivariate linear regression algorithm. Using the real-time data sets gathered from department, and analyze the data. The project's goal is to forecast the grade for the upcoming semester so that, by taking the necessary steps, for forecast the grade and enhance the outcomes in the upcoming semester. Designer developed three machine learning models for this project using the multivariate linear regression algorithm. Among these 3 models, two models are used to predict semester marks and another model is to predict the final internal or model exam marks. With the treatment of the data points and its specifies, to increase the machine learning model's effectiveness in this project.
Keywords:
Artifical Intelligence; Machine Learning; Linear Regression Algorithm; Multiple Marks; Prediction
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0