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.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
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Sayak Paul
Sayak is employed at Carted where he works on representation learning from product webpages, as well as other NLP use cases. His interests are in the general representation learning area and include self-supervision, semi-supervision, multimodal alignment, and model robustness
prerequisites
This liveProject is designed for developers interested in data science and for beginner data scientists. To begin this liveProject, you will need to be familiar with:
TOOLS
Basics of Python and its utility functions
Basics of pandas
Basics of NumPy
Basics of scikit-learn
TECHNIQUES
Basics of data science
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