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andwati
ed2ff5b359
- Created `streamlit_app.py` for a user-friendly dashboard to predict student outcomes using a Random Forest model. - Added `requirements.txt` to specify necessary Python packages for the application. - Implemented `train_and_save_model.py` to train the Random Forest model and save it along with preprocessing information. - Included detailed user input forms for various student characteristics and academic performance metrics. - Added custom styling for better UI/UX in the Streamlit app. - Integrated prediction results display with probability metrics and model performance insig
6 lines
96 B
Plaintext
6 lines
96 B
Plaintext
streamlit>=1.28.0
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pandas>=1.5.0
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numpy>=1.24.0
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scikit-learn>=1.3.0
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plotly>=5.15.0
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pickle5>=0.0.11 |