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.