Stuart Barnum's repositories
Twitter-Sentiment-Analysis
Python code, raw Twitter data, results
Adaboost-Titanic
An implementation of the Adaboost meta-algorithm, written in R and and applied to the Titanic dataset. Leave-one-out cross-validation implemented in parallel using doParallel and foreach.
Crime-Data
Visual comparisons of crime data for Seattle and San Francisco, with an emphasis on crimes associated with drugs. Implemented in R. Links to rendered HTMLs in README.md.
Detroit-Demolitions
Analysis of urban blight, in the form of predictions of which buildings will be targeted for demolition. Uses the R sf package and a variety of supervised learning techniques. See README.md for links.
hello-world
tutorial
Pig-Hadoop-Queries
Social network analysis over a 0.5TB assemblage of RDF data from the Semantic Web
R-for-Data-Science
Solutions to selected exercises from Hadley Wickham and Garrett Grolemund's recent book
Text-Analytics-with-SQL
Matrix multiplication for text analytics