Pinned Repositories
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.
jharris0's Repositories
jharris0/export-spotify-data
Some rough R code for exporting user playlist tracks and saved songs from the Spotify API
jharris0/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.
jharris0/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
jharris0/jharris0.github.io
jharris0/marine-traffic
shiny.semantic app for visualizing ship movements
jharris0/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.
jharris0/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.
jharris0/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
jharris0/RepData_PeerAssessment1
Exploration of step counter data using R. Assignment for Johns Hopkins University "Reproducible Research" course on Coursera. See PA1_template.md.
jharris0/shiny-big-mac
An R Shiny visualization of The Economist's Big Mac Index
jharris0/shiny-examples