Journal of Applied Data Sciences
Vol 2, No 1: JANUARY 2021

Predict high school students' final grades using basic machine learning

Sigit Sugiyanto (Universitas Muhammadiyah Purwokerto, Indonesia)

Article Info

Publish Date
15 Jan 2021

Abstract

To improve the quality of students, teachers must be able to take precautionary measures to deal with students who are lacking or have the potential to experience deficiency. Student ratings are temporary, however, have a profound impact on students' mental and enthusiasm for learning. As a teacher, it is very important to make predictions in dealing with this matter because if the ranking has been issued, it is too late. In this article, we will discuss and make Student grade predictions using basic machine learning, we will also discuss the continuity between student data and machine learning

Copyrights © 2021




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Journal of Applied Data Sciences
Website

Abbrev

JADS

Publisher

Bright Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

One of the current hot topics in science is data: how can datasets be used in scientific and scholarly research in a more reliable, citable and accountable way? Data is of paramount importance to scientific progress, yet most research data remains private. Enhancing the transparency of the processes ...