Year: 2018
Type: article
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
Authors: H S Divyashree, Avinash N, M.Sasi Kumar, S. Dinesh
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W2886067769