Using Machine Learning Methods to Predict Academic Success in College

Author

Kamilia Adil, CUNY Graduate CenterFollow

Date of Degree

6-2024

Document Type

Master's Capstone Project

Degree Name

Master of Science

Program

Data Analysis & Visualization

Advisor

Howard T. Everson

Keywords

Education, Predictive Analysis, supervised machine learning, unsupervised machine learning, predict student's dropout, predict studen't graduation

Abstract

No abstract provided.

Comments

Online component: https://predict-student-dropout.onrender.com/

Recommended Citation

Adil, Kamilia, "Using Machine Learning Methods to Predict Academic Success in College" (2024). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/6360