Kathy Ashenfelter's repositories
APM_Exercises
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
Big-Data-Capstone
Files for Big Data Capstone project
c3
c3 HTMLWidget Ploting
cbp-theme
UI Theme for U.S. Customs and Border Protection web applications
cbpR
This R Package downloads and prepares panel data sets from the Census County Business Patterns (CBP)
ckan-php-client
A PHP client for the CKAN data catalog, used by https://github.com/GSA/ckan-php-manager
ckan-php-manager
A tool for managing a CKAN data catalog
csv-to-api
Proof of concept to dynamically generate RESTful APIs from static CSVs
desirability
S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980)
dimRed
A Framework for Dimensionality Reduction in R
GaussianProcessCrimePrediction
R Markdown code for applying Gaussian Process (Kriging) to crime prediction problem
Intellectual-Property-Rights-Search
Search for Intellectual Property Rights registered by U.S. Customs and Border Protection on www.iprs.cbp.gov.
ng2-cbp-cf
Angular2 Library to get CBP-theme wrap up as components
Optimization-Methods-for-Tuning-Predictive-Models
Code and slides from a 2016 talk at the Cambridge UK RUG
PassengerScreeningWeb
For Project Passenger Screening
R-Ladies-London
Code and Slides for "Whose Scat Is That? An 'Easily Digestible' Introduction to Predictive Modeling in R and the caret Package"
realtime-dashboard
Real-time report dashboard with Apache Kafka, Apache Spark Streaming and Node.js
resume
R package to build Resume and Cover Letter
rPython-win
rPython for Windows
ScalaPoweredShiny
Scala RESTful API (http4s) powering a RShiny Dashboard
sparselda
R package to perform sparse linear discriminant analysis for gaussians and mixture of gaussians models.
tensorflow_shiny
A R/Shiny app for interactive RNN tensorflow models
tidyposterior
:exclamation: This is a read-only mirror of the CRAN R package repository. tidyposterior — Bayesian Analysis to Compare Models using Resampling Statistics. Homepage: https://topepo.github.io/tidyposterior Report bugs for this package: https://github.com/topepo/tidyposterior/issues
useR2016
Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"