Lab Description

In a fast-growing tech company, phishing attacks have become increasingly frequent and sophisticated, targeting employees through deceptive websites. To counter this rising threat, your team is tasked with developing an automated detection system. In this lab, you will take on the role of a cybersecurity analyst responsible for building a proof-of-concept machine learning model to classify phishing URLs. Using Python and Scikit-learn, you will construct and evaluate a complete ML pipeline, gaining hands-on experience in data preprocessing, feature extraction, model training, and validation. By the end, you will understand how machine learning can be applied to proactively defend against phishing attacks, forming the core of a scalable security tool.

What You Will Learn

Program Curriculum

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