This project uses Machine Learning and NLP to detect phishing websites based on URL patterns. Built with Python, it applies data preprocessing, feature extraction, and classification using Logistic Regression and Naive Bayes—achieving over 96% accuracy.
nlp naive-bayes logistic-regression feature-engineering cybersecurity-analytics url-pattern-recognition
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Updated
Jul 27, 2025 - Jupyter Notebook