randomanomaly Goto Github PK

aind-sudoku

angular2-heroes-tutorial

angular2-quickstart

angularjs-hkuniversity

checklist

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

creating-customer-segments

designwork

docker-emacs

My usual dev environment, running in a docker container

dog-breed-classifier

finding-donors

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.

forking-test-experimental

gitexplorer

hello-world

javascript-design-patterns

js-calculator

Free Code Camp - Javascript Calculator

js-conway-game-of-life

js-pomodoro

js-simon

js-tictactoe

learnpythonthehardway

lyndaiet

machine-learning

Content for Udacity's Machine Learning curriculum

mvc-movie-tutorial

neat

Kenneth Stanley's NEAT code reorganized (tidier?)

neighborhood-map

Simple neighborhood map. Pulls data from the Google Maps api and the Google Places api. Written using knockout.js. Purpose is to demonstrate use of MVVM design pattern in javascript / html.

npmtut

openworm

Project Home repo for OpenWorm Wiki and Project-wide issues

org-radiator

peas

Python Evolutionary Algorithms. Contains implementations of NEAT and HyperNEAT.