UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2007140


Registration ID:
235224

Page Number

1106-1109

Share This Article


Jetir RMS

Title

EARLY PREDICTION OF ACEDEMIC PERFORMANCE USING MACHINE LEARNING APPROACH

Abstract

Predicting Students performance heretofore can be extremely helpful for educational institutions to improve their instructing quality. This paper proposes to predict students performance by thinking about their scholarly subtleties. Educational associations are extraordinary and assume utmost significant job for the improvement of any country.As Education changes the lives of people, families, networks, social orders, nations and at last the world! This is the reason we live agreeable lives today. Presently a day’s training isn’t restricted to just the homeroom instructing however it goes past that like Online Education System, Web-based Education System, Seminars, Workshops, MOOC course turns into It’s all the more testing to Predict understudy’s performance in view of the colossal main part of information put away in the conditions of Educational databases, Learning Management databases. Students’ performance can be assessed with the assistance of different accessible techniques. It is advancing territory of concentrate that accentuation on different strategies like characterization, prediction, include determination. It is utilized on learning records or information identified with training to predict the students’ performance and learning conduct by extricating the hidden knowledge.

Key Words

College Education, Machine Learning, Result Prediction, supervised learning.

Cite This Article

"EARLY PREDICTION OF ACEDEMIC PERFORMANCE USING MACHINE LEARNING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.1106-1109, July-2020, Available :http://www.jetir.org/papers/JETIR2007140.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"EARLY PREDICTION OF ACEDEMIC PERFORMANCE USING MACHINE LEARNING APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1106-1109, July-2020, Available at : http://www.jetir.org/papers/JETIR2007140.pdf

Publication Details

Published Paper ID: JETIR2007140
Registration ID: 235224
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 1106-1109
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003059

Print This Page

Current Call For Paper

Jetir RMS