The Student Performance Analysis project aims to analyze the academic performance of students based on various factors such as demographics, social background, and study habits. The analysis includes data exploration, visualization, and machine learning modeling to predict student grades.
- Installation
- Usage
- Data
- Analysis
- Visualizations
- Machine Learning Models
- Results
- Contributing
- License
To run this project, you need to have Python installed along with the following libraries:
pip install pandas numpy matplotlib seaborn missingno scikit-learn