Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 10, Issue 1


Published
on


Pages

467-473


DOI

Article

Analysis of Student Result using Machine Learning in Python


Authors

Bonthu Kotaiah Affiliation:
ASSITANT PROFESSOR, Dept. of CS and IT, MAULANA AZAD NATIONAL URDU UNIVERSITY, GACHIBOWLI, HYDERABAD, TELANGANA
and Syed Mohd Fazal Ul Haque Affiliation:
ASSITANT PROFESSOR, Dept. of CSE, POLYTECHNIC, MAULANA AZAD NATIONAL URDU UNIVERSITY, GACHIBOWLI, HYDERABAD, TELANGANA


Abstract

The higher education system suffers from various drawbacks and the main reason behind this is difficulty in its evaluation and hindrances in improvement opportunities. analysis of Institutional data is a new evolving concept which involves the development of different approaches to examining the novel type of dataset coming from the institutional environment and utilizing those approaches to recognize the students in a more appropriate way. In order to reach this objective, the organizations are required to acquire in-depth knowledge to adequately perform the task of assessing, forecasting, planning, evaluating, and decision making. A major part of the information can be achieved through the organization’s old records and databases. Data analyzing is simply a method of digging out unknown or in-depth knowledge from a set of a huge dataset. This paper is basically produced to highlight the role of data analysis or mining and its implications in the performance of higher education.


Keywords

machine learning, student performance, regression, decision trees naïve Bayes Classification


Citation

Kotaiah, B. & Haque, S. M. F. U. (2019). Analysis of student result using machine learning in python. Turkish Journal of Computer and Mathematics Education, 10(1), 467–473.

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