Network Activity Anomaly Detection

The script walks you through the steps of loading and preparing your dataset, training a machine-learning model, and evaluating its performance in distinguishing normal network activities from Neptune attacks. It includes encoding categorical data, normalizing the features, and utilizing a Random Forest Classifier for prediction. Finally, it creates a submission file containing the model's predictions for the test dataset.