Publication Date: 2023/09/11
Abstract: Machine learning is a subfield of Artificial Intelligence (AI) that equips computers to learn from records to make inferences about the future. It has been employed in different fields such as medicine, agriculture, finance, and education to make explanatory data analyses and projections. Machine learning models have been used in making projections and planning. In this project, we have built a machine learning model to predict students’ enrollment with the view to having better planning in the area of teaching and non-teaching staff recruitment, lecture halls and laboratories development, and student hostel construction. We have used support vector machine (SVM). SVM achieved a root mean square error (RMSE) and coefficient of determination (R2) of 0.61 and 0.54.
Keywords: No Keywords Available
DOI: https://doi.org/10.5281/zenodo.8334695
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23SEP478.pdf
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