mental_health_ml. This project explores and models mental health trends among students using the Student Depression Dataset. The goal is to identify key lifestyle, academic, and personal factors contributing to student depression risk, and to build an interpretable machine learning model that can predict and explain those risks.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.