The project aimed at deploying a best ML model to detect the phishing URL's from Random forest, Decision tree, Naive Bayes, Xgboost, Grade-boost classifiers.
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Updated
Apr 21, 2024 - Jupyter Notebook
The project aimed at deploying a best ML model to detect the phishing URL's from Random forest, Decision tree, Naive Bayes, Xgboost, Grade-boost classifiers.
This is a phishing URL detector machine learning project for ML lab done by B - 36 & 41.
I have taken dataset from kaggle for phishing url detection https://www.kaggle.com/datasets/taruntiwarihp/phishing-site-urls/data and extracted different features from urls and them trainind ANN model on those features which given in notebook.
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