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Student Strategizing in Education system using a Machine Learning Model

H S Divyashree1 , Avinash N2 , M.Sasi Kumar3 , S. Dinesh4

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 584-588, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.584588

Online published on Jul 31, 2018

Copyright © H S Divyashree, Avinash N, M.Sasi Kumar, S. Dinesh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: H S Divyashree, Avinash N, M.Sasi Kumar, S. Dinesh, “Student Strategizing in Education system using a Machine Learning Model,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.584-588, 2018.

MLA Style Citation: H S Divyashree, Avinash N, M.Sasi Kumar, S. Dinesh "Student Strategizing in Education system using a Machine Learning Model." International Journal of Computer Sciences and Engineering 6.7 (2018): 584-588.

APA Style Citation: H S Divyashree, Avinash N, M.Sasi Kumar, S. Dinesh, (2018). Student Strategizing in Education system using a Machine Learning Model. International Journal of Computer Sciences and Engineering, 6(7), 584-588.

BibTex Style Citation:
@article{Divyashree_2018,
author = {H S Divyashree, Avinash N, M.Sasi Kumar, S. Dinesh},
title = {Student Strategizing in Education system using a Machine Learning Model},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {584-588},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2478},
doi = {https://doi.org/10.26438/ijcse/v6i7.584588}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.584588}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2478
TI - Student Strategizing in Education system using a Machine Learning Model
T2 - International Journal of Computer Sciences and Engineering
AU - H S Divyashree, Avinash N, M.Sasi Kumar, S. Dinesh
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 584-588
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

Strategizing is an important aspect which requires critical analysis to determine performance. The key to solve this issue is by tapping the available student talent within the university. In this paper, we have done research in the domain of education. Strategy considered in the research is assessing the skill set of the students. For this approach, we have constructed our Vision Based Page Segmentation algorithm to extract the data from the university. In Unsupervised Machine Learning and Supervised Machine Learning, We have taken Classification and Regression supervised learning to classify the student’s marks. Machine learning models like Neural Network, Random Forest and Logistic Regression have been used to predict the best student team.

Key-Words / Index Term

Strategizing, Neural Network, Random Forest and Logistic Regression

References

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