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Phishing-URLs-Classifier

  • Classified more than 235,795 websites as spam or legitimate, developing a predictive model using ensemble learning techniques to enhance classification accuracy and performance.
  • Designed and implemented a Phishing URLs Classification System using Python, pandas, and scikit-learn, accurately identifying phishing sites after processing the dataset with more than 50 features.