Use Machine Learning to Detect Phishing Websites

pandas, NumPy, scikit-learn, logistic regression, Weights & Biases

We just launched our liveProject platform — where you can sign up for a structured project and get real-world experience.

In this liveProject, you’ll take on the role of a data scientist employed by the cybersecurity manager of a large organization. Recently, your colleagues have received multiple fake emails containing links to phishing websites. Phishing attacks are one of the most common — and most effective — online security threats, and your manager is worried that passwords or other information will be given to an attacker. You have been assigned the task of creating a machine learning model that can detect whether a linked website is a phishing site. Your challenges will include loading and understanding a tabular dataset, cleaning your dataset, and building a logistic regression model.

Learn more about liveProject here:

Follow Manning Publications on Medium for free content and exclusive discounts.