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.