Carrie Smith's repositories
colors-of-monet
To apply what I have been learning I completed a multi-phase project titled The Colors of Monet. I began using Python to scraping a database of Monet paintings and extracting a color palette from each using k-means clustering. I explored different image pre-processing techniques to improve the results. I finally took those results and created an interactive data visualization using JavaScript and D3.
salary_prediction
Predicting salary. Applied regularized regression models and text processing.
carriesmith-dot-ca
My personal website, www.carriesmith.ca
choices
simple app to help weigh options and make the best decision
coinFlips
Simple web app exploring form fields and D3 histogram.
full_stack_redux_tutorial
Full-Stack Redux Tutorial
hadleyverse
Docker image providing RStudio + rmarkdown/pandoc/latex + R package ecosystem from Hadley Wickham
hello_app
Ruby on rails tutorial hello world app
mean-crm-api
sample application - MEAN machine
Museum-Search
Angular app, image search using the Rijksmuseum API
node-hello
hello world - node + express
police-siu
Exploring Ontario police Special Investigations Unit historical statistics
python-styleguide-and-tools
Python style notes, tool setup and productivity helpers.
reductio
Reductio: Crossfilter grouping
sample_app
Ruby on rails tutorial sample app Chapter 3 +
shootings-visualization
As an exercise in creating maps using D3, I created this visualization of the Stanford Mass Shootings of America (MSA) database.
smoking-data
Scrape, munge and visualize smoking data from County Health Rankings
toy_app
Ruby on rails tutorial chapter 2 toy app
ttc_or_uber
An app that shows you the wait time for the nearest TTC ride and the nearest Uber in one place!