Network Activity Anamoly detection

This project involves detecting "Neptune" attacks, a type of SYN flood attack, in network activity data. Using a dataset with labeled records of normal and attack activities, a Random Forest model was trained after preprocessing the data with scaling and encoding techniques. The model achieved perfect accuracy on the validation set. Predictions for the test set were generated and saved for further analysis, demonstrating the model's effectiveness in identifying network security threats.