Some ideas about making predictions more meaningful.
Using web scraping and fuzzy matching for profit in an MMORPG.
Exploring 17 years of Asheville temperature data.
How I tackled a couple of recent machine learning contests.
Using a clustering technique to segment a set of products into natural groups.
No calculus required.
LIME-like explanations in a fraction of the time.
A ten-minute hypersimplistic analysis, just for fun.
Using basic SQL to find the area under the ROC curve.
Pieces of code to do a few neat things with machine learning models.
A subfield of semi-supervised machine learning, where the only labeled data points available are positive.
Using a bit of scientific computing to solve an inadvertently difficult math problem.