Authors
School of Computational and Communication Science and Engineering, NM-AIST, Arusha
Tanzania Commission for Science and Technology, COSTECH, Dar es salaam
School of Computational and Communication Science and Engineering, NM-AIST, Arusha
A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction
By: Neema Mduma, Khamisi Kalegele and Dina Machuve
DOI: https://doi.org/10.5334/dsj-2019-014 | Journal eISSN: 1683-1470
Language: English
Submitted on: Oct 4, 2018
Accepted on: Mar 19, 2019
Published on: Apr 17, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2019 Neema Mduma, Khamisi Kalegele, Dina Machuve, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.