fennybz / Detecting-Phishing-Attack-using-ML-DL-ModelsView external linksLinks
Developed a model to detect Phished emails from legitimate ones using the Spam Assassin dataset. Extracted relevant features by processing the mails using the NLP toolkit. Built various ML models like Naïve Bayes, Random Forest, and Voting Ensemble with the best accuracy of ~72%, and deep learning model like Neural Network with an accuracy o…
☆16Feb 20, 2022Updated 3 years ago
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