Applied math, scientific programming, data science.

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# Positive-unlabeled learning

A subfield of semi-supervised machine learning, where the only labeled data points available are positive.

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## About me

## Standardizing machine learning results

## Fuzzy pandas

## Modeling temperature

## Dabbling in data science competitions

## Price bins

## My favorite math problem

## Justifying a random forest’s predictions

## Bitcoin projections

## AUC with SQL

## Machine learning snippets

## Backyard trig

## Latitude and the timing of childbirth

Applied math, scientific programming, data science.

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.

Using a bit of scientific computing to solve an inadvertently difficult math problem.

Trying to shed a little more light on a mysterious relationship.