Lab Description

As a cybersecurity analyst, your role extends to safeguarding the organization against phishing attacks, one of the most common entry points for cybercriminals. In this lab, you will work with a dataset of emails and apply machine learning to distinguish between safe and malicious messages. By building and evaluating a Naive Bayes classifier, you will explore how statistical models can power intelligent detection systems, reducing reliance on manual analysis and improving response times. This hands-on exercise demonstrates the intersection of cybersecurity and machine learning, equipping you with practical skills to design automated solutions that strengthen organizational resilience against phishing campaigns.

What You Will Learn

Program Curriculum

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