About this document
Measuring Student Depression Severity by shu min is a document available to read on EtoBox.
This document is an assignment report for measuring the severity of depression among students using machine learning. It contains an introduction to the problem, hypothesis, objectives, methodology, and elaboration on the data and features used. The group aims to develop a machine learning model using logistic regression to classify students as mildly or severely depressed based on various features from a dataset obtained online. The objectives are to determine depression severity levels, examine relationsh
- Author
- shu min
- Language
- EN