This project is part of my computing master's ML assessment
The project was focused on using ML Techniques to detect phishing websites
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investigated Logistic Regression, Random Forest, Support Vector Machine and BernoulliNB
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explored feature selection using mutual information gain scores and correleational matrix
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explored model optimisation using
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SMOTE to handle imbalance dataset
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Hyperparameter tuning using GridSearch with RepeatedStratifiedKFoldValidation
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explored model explainability and interpretability using
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SHAP library
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LIME library
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Feature Importance
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Dataset and Code included for reproducibility of results
Open the notebook and run all the cells.
Enjoy!
~ Carlvinchi