This project presents an exploratory analysis of student performance data using Python. The goal is to identify patterns, correlations, and insights that influence academic outcomes such as gender, test preparation, parental education level, and more.
- Data cleaning and preprocessing
- Visualizations using Seaborn & Matplotlib
- Correlation analysis between features
- Insights on demographics and scores
- Python 3
- Jupyter Notebook
- pandas
- numpy
- seaborn
- matplotlib
Clone the repository:
git clone https://github.com/yourusername/student-performance-analysis.git
cd student-performance-analysis