2014-01-13-uri

Software Carpentry bootcamp at University of Rhode Island & EPA

2014_seoul_mayoral_election_analysis

Bayesian Inference using Opinion Survey of Seoul Mayoral Election 2014

afsis2014

Solution for AFSIS 2014 Competition

air_analysis_v1

air_analysis_v3

air_quality_analysis

algorithm-implementations

Algorithms & Data Structures

archive-datacarpentry

Data Carpentry workshop materials

baseball_r

Companion to Analyzing Baseball Data with R

bayesianr

bigdata_project

bior

질병유전체 분석 + R

building-recommendation-engines

Building Recommendation Engines by Packt

buildingmachinelearningsystemswithpython

Source Code for the book Building Machine Learning Systems with Python

business-analytics

Course homepage for "Business Analytics" @Korea University

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

causality

Kaggle's Causality Challenge Solution for team FirfiD

cause-effect

Kaggle cause-effect software

causeeffectpairschallenge

cnn_sentence

CNNs for sentence classification

code

ActiveState Code Recipes

codingthematrix

Code for 'Coding the Matrix: Linear Algebra through Computer Science Applications' Class

codingthematrix-1

coursera-functional-programming-in-scala

coursera_git

git practice repository for coursera lecture

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

courses-1

cs231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

d3-book

Supplementary materials for Visual Storytelling with D3 (plus more D3 goodness)