Student Performance Prediction System using Machine Learning and Streamlit.
- Predicts student final grades
- Interactive Streamlit dashboard
- Machine Learning model using Linear Regression
- Data visualization and analysis
- User-friendly interface
- Python
- Pandas
- Scikit-learn
- Streamlit
- Matplotlib
- Seaborn
The model predicts student final grades based on:
- Study time
- Absences
- Past failures
- Previous grades (G1 & G2)
Model Accuracy:
- R² Score: 0.78
streamlit run app.py- Data preprocessing
- Exploratory Data Analysis
- Linear Regression
- Model evaluation
- Streamlit app development
- Feature engineering