تفاصيل العمل

Neural Network

Student Performance Prediction Using Neural Networks

Developed a Neural Network model with TensorFlow/Keras to predict students’ final grades (G3) as Pass/Fail, achieving 87.34% accuracy. Applied feature encoding, scaling, and visualized performance with ROC curves and confusion matrix using Matplotlib.

SVM

Student Performance Prediction Using SVM

Developed an SVM model with Scikit-learn to predict students’ final grades (G3) as Pass/Fail, achieving 87.34% accuracy. Standardized features, evaluated performance with confusion matrix and ROC curves, and visualized results using Matplotlib.

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