Advanced Prediction of a performance of a student in an university using Machine Learning Techniques
Shreya Singh, Aditi Bhardwaj, Gazala Malik
Clustering, Classification, K-Means, Hierarchical, Naïve Bayes, Decision Trees.
Machine Learning is a field of computer science that makes the computer to learn itself without any help of external programs. These machine learning techniques can be used to predict the output for certain inputs. There are two approaches for machine learning techniques one is supervised learning and the other one is unsupervised learning. In unsupervised learning, K-means and Hierarchical clustering are being used and in supervised, Naive Bayes and Decision Trees are used. Nowadays evaluating the student performance of any organization is going to play a vital role to train the students. All of the above algorithms were combined and used for student evaluation used for recruiting process. Here the performance of K L University students is evaluated by applying all the above algorithms.
Article Details
Unique Paper ID: 151713

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 660 - 665
Article Preview & Download

Share This Article

Conference Alert


International conference on Management, Science, Technology, Engineering, Pharmact and Humanities.

Go To Issue

Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews

Contact Details