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accelerometer-tidy-dataset

Course project for Johns Hopkins University "Getting and Cleaning Data" course on Coursera. Demonstrates methods for tidying raw accelerometer data in preparation for analysis.

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

export-spotify-data

Some rough R code for exporting user playlist tracks and saved songs from the Spotify API

jharris0.github.io

marine-traffic

shiny.semantic app for visualizing ship movements

next-word

Word prediction algorithm created for the Johns Hopkins University Data Science Specialization on Coursera capstone project. Includes code for processing a corpus, building ngram tables, building a GloVe model, and creating a Shiny web app to showcase the algorithm.

practicalmachinelearning

Course project for Johns Hopkins University "Practical Machine Learning" course on Coursera. Demonstrates using R's caret package to build a machine learning model for evaluating whether a weight lifting exercise is performed with correct technique. For 20 out-of-sample observations, my XGBoost model had 95% accuracy. Some students who used random forest achieved 100% accuracy.

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

repdata_peerassessment1

Exploration of step counter data using R. Assignment for Johns Hopkins University "Reproducible Research" course on Coursera. See PA1_template.md.

shiny-big-mac

An R Shiny visualization of The Economist's Big Mac Index

shiny-examples