Analysis of Ethiopian student performance data across grades 1-12
readme_content = """
# 📚 Ethiopian Education Dataset Analysis
## Project Overview
This project analyzes educational data from Ethiopian students across grades 1-12, examining factors that influence academic performance including demographics, infrastructure access, and parental involvement.
## Dataset Description
- **100,000 students** tracked over 12 years
- **634 features** including test scores, attendance, homework completion
- Covers 12 grade levels with Ethiopian curriculum subjects
- Includes national exam results for eligible students
## Key Findings
1. Average student score: XX.XX
2. Internet access impact: +XX points
3. Best performing region: XXXX
4. Key success factors: Parental involvement, school resources
5. Performance gaps: Gender, regional, infrastructure
## Technologies Used
- Python 3.x
- Pandas for data manipulation
- NumPy for numerical operations
- Matplotlib/Seaborn for visualization
- Scikit-learn (for ML extensions)
## Project Structure