/sitespurified

The primary objective of this project is to equip users with a powerful Machine Learning-driven application to proactively defend against phishing threats and identify malicious URLs. By leveraging a range of ML algorithms, including decision trees, Random Forests, MLP, SVM, XGBoost algorithm, and more, our robust model ensures accurate detection.

Primary LanguageJupyter NotebookMIT LicenseMIT

sitespurified

The primary objective of this project is to equip users with a powerful Machine Learning-driven application to proactively defend against phishing threats and identify malicious URLs. By leveraging a range of ML algorithms, including decision trees, Random Forests, MLP, SVM, XGBoost algorithm, and more, our robust model ensures accurate detection.