Developed a phishing URL detection system using machine learning, achieving 99.75% accuracy. Applied advanced feature engineering and balanced imbalanced data using SMOTE. Performed EDA and evaluated multiple classification models (KNN, Logisitic Regression, SVM and Decision Tree), optimizing for precision and recall.
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Developed a phishing URL detection system using machine learning, achieving 99.75% accuracy. Applied advanced feature engineering and balanced imbalanced data using SMOTE. Performed EDA and evaluated multiple classification models (KNN, Logisitic Regression, SVM and Decision Tree), optimizing for precision and recall.
skXjha/Phishing-URL-detection-using-Machine-Learning
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Developed a phishing URL detection system using machine learning, achieving 99.75% accuracy. Applied advanced feature engineering and balanced imbalanced data using SMOTE. Performed EDA and evaluated multiple classification models (KNN, Logisitic Regression, SVM and Decision Tree), optimizing for precision and recall.
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