Student Performance Analysis Using ML - ML analysis, training, and deployment
You built and deployed a student performance analysis ML workflow that involved preparing and working with structured records to support predictive modeling. You used the dataset to engineer features, train models, and tune hyperparameters to improve grade prediction quality. You also delivered a web-based interface for real-time predictions using the trained models. • Prepared student performance data for machine learning model training and evaluation. • Predicted student grades using machine learning models. • Improved model accuracy through feature engineering and hyperparameter tuning. • Deployed a web interface for real-time predictions.