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
- Publishing WASM wheels to PyPI for use with Pyodide - 13th June 2026
- Claude Fable is relentlessly proactive - 11th June 2026
- Initial impressions of Claude Fable 5 - 9th June 2026