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
- Locating the source of a mysterious beep with Claude - 9th November 2026
- Hide your slop PR descriptions behind <details><summary> - 9th November 2026
- Qwen 3.8 27B on my laptop can interpret model weights, too - 3rd November 2026
- The U.S. Census Bureau and “Super Intelligence” - 2nd November 2026