Big Data Project

Overview

This project analyzes the impact of student lifestyle factors on mental health and academic performance using big data techniques. This code was runed in Google Colab

Dataset

• Depression Student Dataset: Examines the connection between mental health and various lifestyle factors.
• Student Lifestyle Dataset: Analyzes how student habits impact academic performance.

Key Findings

• High academic pressure correlates with increased depression.
• Lack of sleep significantly affects mental health.
• Social interactions can help reduce stress.
• A balanced lifestyle improves both well-being and GPA.

Usage

1. Clone this repository: git clone https://github.com//Big_Data_Project.git
2. 2. Open Big_Data_Project.ipynb in Jupyter Notebook.
3. Run the analysis.

Requirements

• Python 3.x
• Jupyter Notebook
• Pandas, Matplotlib, Seaborn

Contributing

Feel free to contribute to this project by submitting pull requests.

License

MIT License