pitch deck for Developing Data Products -- JHU Data Science Specialization

test the suppression of messages from quanteda using various knitr, R, and quanteda arguments

Version of NOAA storm data analysis, conducted on a Chromebook running Ubuntu Linux

Code for the article, Improving Performance of caret::train() which is posted at https://github.com/lgreski/datasciencectacontent/blob/master/markdown/pml-randomForestPerformance.md

Analysis of Heliohost Corpora for Johns Hopkins University Data Science Specialization March 2016 Capstone

Performance testing version of NOAA storm data analysis, illustrating use of timing instrumentation on the analysis script.

Submitted to fulfill requirements for the Johns Hopkins University Data Science curriculum Reproducible Research course in October 2015.