Stuart Cary's starred repositories
msteams-docs
Source for the Microsoft Teams developer platform documentation.
ScrollyTeller
A JavaScript library to build scrollytelling visualizations from tabular data
python-ssas
A proof of concept to integrate Python and Microsoft Analysis Services
Python-Custom-Skills-Toolkit
Python Custom Skills for Azure Cognitive Search
awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
azure-search-knowledge-mining
Azure Search Knowledge Mining Accelerator
azure-search-power-skills
A collection of useful functions to be deployed as custom skills for Azure Cognitive Search
CustomVisuals
2019 Demos of custom visuals for Power BI
PowerBI-visuals
The Microsoft Power BI visuals project provides high quality data visualization that you can use to extend Power BI. The project contains over 20 visualization types, the framework to run them, and the testing infrastructure that enables you to build high quality visualizations.
chartaccent
A chart annotation tool.
graphic-detail-data
Data and code behind the Economist's Graphic Detail section.
Spatial_Analysis_in_R_with_Open_Geodata
Spatial Analysis in R with Open Geodata (Tutorial)
openstreetmap-data-science
Data Science with OpenStreetMap
PowerBI-visuals-image-pie-chart
Image pie chart for PowerBI
neural-network-from-scratch-in-R
A step-by-step implementation of an artificial neural network for learning purpose
tidytuesday
Official repo for the #tidytuesday project
Learn-Pandas
Tutorials on how to use pandas effectively to do data analysis
AppStoreReviews
Apple AppStore reviews scraper
deep-learning-with-r-notebooks
R notebooks for the code samples of the book "Deep Learning with R"
biostat561
Course materials for BIOST561
clear-water-app
Generate water quality predictions for Chicago beaches, and upload to https://data.cityofchicago.org/Parks-Recreation/Beach-E-coli-Predictions/xvsz-3xcj
keras_tensorflow_demo
Demonstration of using Keras to run a simple deep feed forward artificial neural network using Tensorflow as backbone in R