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Network Anomaly Detection
Data Science and Machine Learning Platforms: Jupyter Notebook, Google Colab
Libraries: Pandas, Numpy, Matplotlib, Seaborn, PyCaret, Scikit-Learn
This project focuses on developing a software tool for detecting network intrusions, aimed at protecting computer networks from unauthorized access. The primary goal is to construct a predictive model that can accurately classify network connections as either normal or malicious based on their behavior and characteristics.
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