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1. Adaboost-Titanic Adaboost-Titanic Public

   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.

   R

2. Crime-Data Crime-Data Public

   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.

   HTML 1

3. R-for-Data-Science R-for-Data-Science Public

   Solutions to selected exercises from Hadley Wickham and Garrett Grolemund's recent book

   HTML

4. Detroit-Demolitions Detroit-Demolitions Public

   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.

   HTML

5. Twitter-Sentiment-Analysis Twitter-Sentiment-Analysis Public

   Python code, raw Twitter data, results

   Python 1

6. New-York-City-Council New-York-City-Council Public

   Analysis requests from the New York City Council

   HTML