Post-Graduate College Admission Recommender Using Data Analytics
S. Aarthi1, M. Sarvathanayan2, B. Prithvi Kumar3, Rakesh G S4
1Mrs. S.Aarthi, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2M. Sarvathanayan, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3B. Prithvi Kumar, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Rakesh G S, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 840-842| Volume-8 Issue-6, April 2019 | Retrieval Number: F3753048619/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we present an applied research on developing a post graduate college recommender system. This system can help students who pursue higher studies in choosing the college in which they can get an admission. This recommendation of college will be done using Data Analysis based upon various variables such as test scores like GRE, TOEFL and will also be done using university rating, undergraduate GPA, research experience, Statement Of Purpose and Letter Of Recommendation strength. The system uses an algorithm called Multiple Linear Regression to achieve this. Once all the values are entered, the proposed recommendation system will predict the rank of the college in which the student can get admission using a dataset which containing 500 different observations of students in the past.
Keyword: Data Analysis, Multiple Linear Regression, Recommender System.
Scope of the Article: Data Analytics