期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：5
页码：1583-1590
DOI：10.9756/INTJECSE/V14I5.160
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：Graduate degrees are becoming more popular as a result of the current, extremely competitive work environment. Both applicants and university entrance faculty members have been burdened by this, which has also increased workload. Many students in today's educational environment prefer to continue their education after completing an engineering programme or any graduate degree programme at universities abroad, such as those in the USA, UK, and other countries. The TOFL and GRE exams, which are required for studying abroad, must be taken by students who want to pursue master's degrees at universities overseas. One of the most important things students must think about after taking the examinations is preparing their SOP and LOR. There are some consultancies and internet tools that suggest institutions, but many charge exorbitant fees for their services, and the online tools are sometimes are not correct. Thus, we suggest this initiative. employing machine learning to predict graduate admission, which will inform students of their chances of admission to other colleges. To obtain the prediction, we use various machine learning models. These models ought to be highly accurate and ought to take into account all the important variables that are crucial to the student admissions process. The anticipated results offer students a precise sense of their prospects of admission to a particular university. The suggested model makes use of both classification and regression algorithms.
