Network Activity Anomaly Detection

The provided code guides you through loading, preprocessing, training, and evaluating a machine-learning model to classify network activities as normal or Neptune attacks. It involves encoding categorical features, standardizing the data, and using a Random Forest Classifier to make predictions. The final step generates a submission file with the predicted results for the test set.