Student Performance Prediction Dashboard
Data Science · Python, Pandas, Scikit-learn, Streamlit
About this project
Trains regression/classification models on academic datasets to predict semester outcomes and flag at-risk students early. An interactive Streamlit dashboard lets faculty filter by class, view feature importance (what actually affects marks) and download intervention lists.
Key Features
Result prediction with multiple ML models
At-risk student early warning list
Feature importance visualizations
Interactive filters by class/subject
CSV import for college data
Project Specifications
- Domain: Data Science
- Technology: Python, Pandas, Scikit-learn, Streamlit
- Software: Python, Pandas, Scikit-learn, Streamlit
- Views: 3
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A mentor will reply with pricing, timeline and customization options.