Student Performance Prediction — End-to-End ML Pipeline
A beginner-friendly end-to-end machine learning project that predicts student exam scores from demographic and study data — modular pipeline with data ingestion, transformation, model training (CatBoost/XGBoost), and a Flask web app for predictions.
What you get
- Source Code
- Trained Model
- Dataset
- Documentation
- PPT
This project is pre-built — delivered within 24 hours of confirmation.
How it works.
Common questions about ordering, delivery, and support.
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Student Performance Prediction — End-to-End ML Pipeline