JBurley's repositories
Rules_of_Data_Science
A collection of rules and heuristics for being a better data scientist (decision scientist)
Articles
Articles and blog posts written by Jonathan Burley. Most of these are also hosted on Medium or whitepapers from companies (Foundry.ai, Actif.ai, ...). Unless otherwise stated, work is under Creative Commons Attribution License (CC-BY)
KConv_proj
Basic validation of a method for pred. timeseries data from a causally-connected but poorly correlated predictive variable
moto
A library that allows you to easily mock out tests based on AWS infrastructure.
ngboost
Natural Gradient Boosting for Probabilistic Prediction
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
streamlit
Streamlit — The fastest way to build data apps in Python