Machine Learning Predication Techniques for Student Placement/Job Role Predictions
Year: 2024
Type: article
Abstract: Placements is of endless importance for university students and educational institutions. It helps students build a solid foundation for their future careers and ensure a good enrollment record that gives them a good advantage in school or university. Machine learning is an analytical method that establishes analysis patterns. This article describes the features of the machine that can predict whether a student will see or not, as currently it only depends on the student's qualification, age and experience. The predictor uses three machine learning algorithms: Decision Tree, Naive Bayes, and Random Forest are used. The algorithms are then assessed according to the accuracy of the predictions.
Source: Nanotechnology Perceptions
Authors: Kunal Meher, Rajesh L. Gaikwad, Janhavi Ankit Sangoi, Ashish Khot, Manish Rana, Sunny Sall, Mahendra Patil
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4404244645