Brian McGarry's repositories
chessvision
Visualize your chess history from Chess.com
knn_workshop
Using K nearest neighbors to predict Seattle housing prices
seattle_streamlit_demo
During this introductory workshop, you will learn how to deploy an ML model using Streamlit. Streamlit is a user-friendly way to add interactivity and engagement to any ML project. By the end of the session, you will know how to show off your models and insights with this helpful tool. Having some familiarity with python and how to run code in the terminal will be useful for this session.
adventofCode_2019
Working through Advent of Code 2019 https://adventofcode.com/2019
bayesian_ames
Using PyMC3 to do a hierarchical regression on the Ames Housing dataset
daily_challenges_seattle-ds-102819
This repository hosts daily challenges to be given to Seattle DS 102819
GBM_streamlit
Gradient Boosted Model Explorer
Learning_R
A repository that teaches R to my fellow Urban Lab colleagues.
opportunity_youth
Research on opportunity youth
predictive_logistic_regression
Introduction to Logistic Regression for Prediction
random_forest_gal
Understanding concepts and practical application of the random forest algorithm
rbc
A library of building material objects