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This project, titled "Network Intrusion Detection System," completed as part of the Master's in Big Data Analytics at Universidad de Almería, aims to develop a robust pipeline for analyzing network traffic data. Leveraging the CICIDS2017 dataset and processed using Apache Spark, the project integrates machine learning models like Random Forest, MLP, and XGBoost to achieve real-time intrusion prediction. The initiative highlights data ingestion, cleaning, and feature engineering, along with...