mcdickenson/australian-football
Using machine learning to classify Australian football players by league and position.
Discovered public repositories for mcdickenson in the GitHub catalog.
Using machine learning to classify Australian football players by league and position.
ML classification of 2012 London Olympians by sport.
Public repository.
Demonstration of Bayesian nonparametrics with Shiny (eg Chinese restaurant process, Indian buffet process).
Code, homework, presentation, and readings for CS 590.01: Advanced Machine Learning. Taught by Katherine Heller, Duke, Spring 2014.
Coursework for CS 590 - Computational Microeconomics. Taught by Vince Conitzer, Duke University, Spring 2014.
Substitute words in on a page as suggested by XKCD
Simple OS X status bar counter app.
Course repo for CS 590: Applied Algorithms, Fall 2013, Duke University.
Chrome extension for replacing doublespeak with realtalk.
Code, notes, and projects for CS 571: Machine Learning, Duke University, Fall 2013.
Visualizations for gdelt and icews.
Arabic/Persian to IJMES Transliteration
Code for recreating MIDS data from GDELT records
Code for STA 601, Duke University, Fall 2012
Comparing diffs of USA and CSA Constitutions.
Public repository.
Code for CS 201 "Data Structures and Algorithms", Duke University, Spring 2013
Makefile for creating a new project using R and LaTeX
Homepage for PS398 at Duke - Spring 2012
GUI game based on the board game 99