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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM14911

ADMISSION PREDICTION USING MULTIPLE LINEAR REGRESSION WITH PCA

Stream/Area:

-

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-

Paper ID:

IJSREM14911

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

G

G.VINESH

KD

KAITEPALLI DHARANI

PN

PEDDAPALLI NEESHMA

SA

SHRUTHI ANUGANTI

KD

KAVELLI DHRUVANESHWAR

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Abstract

This project is titled as “Admission Prediction using multiple linear regression with pca”. In today’s education world there are many numbers of students who want to pursue higher education after engineering or any graduate degree course in abroad universities like USA, UK. Students who want to do master’s program in America have to write GRE and TOEFL. Once they have attended the exams which are one of the crucial factors they have to consider. So our goal is to develop a model using machine learning which will tell the students their chance of admission into a respective university. These models should consider all the crucial factors which plays a vital role in student admission process and should have high accuracy. The predicted output gives them a fair idea about their admission chances in a particular university.

KEYWORDS

Data preprocessing Multiple linear regression Principal components analysis Admission prediction Machine learning.

Cite This Article

G.VINESH, KAITEPALLI DHARANI, PEDDAPALLI NEESHMA, SHRUTHI ANUGANTI, KAVELLI DHRUVANESHWAR, "ADMISSION PREDICTION USING MULTIPLE LINEAR REGRESSION WITH PCA," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022.

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Publication Date

6/22/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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