IJBTT

Maintain and Evaluate students’ performance Using Machine Learning
	© 2020 by IJCTT Journal
	Volume-68 Issue-6
	Year of Publication : 2020
	Authors : Mujthaba G.M, Gulam Mubasheer Mujtaba, Mohammed Rahmath
	DOI :  10.14445/22312803/IJCTT-V68I6P110

How to Cite?

Mujthaba G.M, Gulam Mubasheer Mujtaba, Mohammed Rahmath, "Maintain and Evaluate students’ performance Using Machine Learning," International Journal of Computer Trends and Technology, vol. 68, no. 6, pp. 57-63, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I6P110

Abstract
Machine learning is an obligatory branch of Artificial Intelligence in computer science is used to analyse data, evaluate the analytical models, visualize & predict outputs and decision making. These operations requires the best learning approaches which hassles machine learning algorithms. The numerous machine learning algorithms are categorized into primarily supervised, unsupervised and reinforcement algorithms. The main objective of these algorithms is to lessen the human interactions with appropriate decision making. This paper highpoints how these machine algorithms can be beneficial in students learning. The effective use of supervised machine algorithms like regression, decision tree, and logistic representations will be applied on to learning class rooms for higher education. To implement these algorithms this research paper chooses R programming language. As R is known to be insightful and influential language in creating data sets, identify patterns, model & visualize data, predict and make proper decision making. These machine learning algorithms will transform the student’s data into appropriate decisions. All the learning operations are performed by using R language and generate the results.

Keywords
Machine Learning (M.L.), Linear Regression, Multiple Regression, Decision trees, Logistic representations and R Programming.

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