Become a Schwifty Student

• CNN-1.py: Implements a Convolutional Neural Network (CNN) model.
• CNN-2.py: Enhances the CNN model from CNN-1.py by adding early stopping and learning rate reduction.
• RandomForest.py: Implements a Random Forest model.
• FCNN.py: Implements a Fully Connected Neural Network (FCNN) model.
• FeatureImportance.py: Contains code for sorting and displaying the feature importance in a Decision Tree Regressor.

The dataset, StudentPerformanceFactors.csv, was sourced from Kaggle. You can find it here.