Machine Learning Model for Network Attack Classification

This Jupyter notebook demonstrates the process of preparing, training, and evaluating a machine learning model specifically designed to identify Neptune attacks in network traffic. The notebook includes data preprocessing, model training, hyperparameter tuning, performance evaluation using F1 score, and generating a submission file for a hackathon. The model achieves a perfect F1 score of 1.0, indicating excellent classification accuracy.