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Team Assignment · Data & Algorithms

Phishing URL Classifier

Preparing URL data to compare phishing-detection models.

Background

A team classification assignment exploring how URL data can distinguish phishing links from legitimate ones.

Key Decisions

Use a Shared Preparation Pipeline

Prepare URL data through a common workflow for the team’s KNN and Gaussian Naive Bayes comparison.

Results

A common preparation workflow for comparing the two models. The gallery shows saved analysis from the assignment; no new accuracy claim is made.

Contribution

I cleaned and preprocessed the URL data and assembled the shared pipeline. Teammates implemented KNN and Gaussian Naive Bayes.

  • Python
  • Preprocessing
  • KNN
  • Gaussian Naive Bayes