24th October 2025
Research
Blog Tag Prediction with Scikit-Learn
— Automatically assigning meaningful tags to historic, untagged blog posts, this project leverages the Simon Willison blog database and scikit-learn to train and compare multi-label text classification models. Four approaches—TF-IDF + Logistic Regression, Multinomial Naive Bayes, Random Forest, and LinearSVC—were tested on posts’ title and body text using the 158 most frequently used tags.
Recent articles
- The Pelican comparison grid for Astra is pretty interesting - 4th September 2026
- OpenAI's rogue agents were caught communicating via public wikis - 4th September 2026
- Claude's new system prompt really doesn't want to reproduce song lyrics - 2nd September 2026