Mental Health Analysis
Mental Health Analysis examines factors affecting mental health, providing insights to identify issues and promote mental well-being using data-driven analytics and predictive modeling techniques.
Project Overview
This project explores patterns and trends in mental health data, aiming to uncover key factors contributing to mental well-being. It utilizes statistical and predictive analysis to drive meaningful solutions.
Key Features
- Comprehensive mental health data analysis
- Predictive modeling for mental health trends
- Interactive visualizations for insights
Technologies Used
- Python
- Pandas
- Matplotlib and Seaborn
- Scikit-learn