Add Streamlit app for student success prediction and model training script

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- 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

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andwati

2025-09-27 23:45:14 +03:00

commit ed2ff5b359

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predictive_analysis.ipynb

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