Pinned Repositories
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
ab-testing-notes
Notes and Python scripts for A/B or Split Testing
adventofCode_2019
Working through Advent of Code 2019 https://adventofcode.com/2019
ChessStyle
Predicting Churn on Chess.com
chessvision
Visualize your chess history from Chess.com
knn_workshop
Using K nearest neighbors to predict Seattle housing prices
lang_gen
simple text generator
sampling
Markov Chain Monte Carlo or How I Learned to Stop Worrying and Love the Sampler
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.
Stockfish
UCI chess engine
Bmcgarry194's Repositories
Bmcgarry194/chessvision
Visualize your chess history from Chess.com
Bmcgarry194/knn_workshop
Using K nearest neighbors to predict Seattle housing prices
Bmcgarry194/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.
Bmcgarry194/adventofCode_2019
Working through Advent of Code 2019 https://adventofcode.com/2019
Bmcgarry194/bayesian_ames
Using PyMC3 to do a hierarchical regression on the Ames Housing dataset
Bmcgarry194/bias_variance
Bmcgarry194/Bmcgarry194.github.io
Bmcgarry194/daily_challenges_seattle-ds-102819
This repository hosts daily challenges to be given to Seattle DS 102819
Bmcgarry194/darksky
Bmcgarry194/dsc-cross-validation-lab
Bmcgarry194/dsc-dealing-with-categorical-variables-lab
Bmcgarry194/dsc-feature-scaling-and-normalization-lab
Bmcgarry194/dsc-interaction-terms-lab
Bmcgarry194/dsc-kaggle-and-boston-housing-dataset
Bmcgarry194/dsc-model-fit-linear-regression-lab
Bmcgarry194/dsc-multiple-linear-regression-statsmodels-lab
Bmcgarry194/dsc-project-eda-with-pandas
Bmcgarry194/dsc-regression-boston-lab
Bmcgarry194/dsc-regression-model-validation-lab
Bmcgarry194/GBM_streamlit
Gradient Boosted Model Explorer
Bmcgarry194/knn
Bmcgarry194/Learning_R
A repository that teaches R to my fellow Urban Lab colleagues.
Bmcgarry194/Metis_Fundamentals
Bmcgarry194/opportunity_youth
Research on opportunity youth
Bmcgarry194/predictive_logistic_regression
Introduction to Logistic Regression for Prediction
Bmcgarry194/random_forest_gal
Understanding concepts and practical application of the random forest algorithm
Bmcgarry194/rbc
A library of building material objects
Bmcgarry194/regularization_crossvalidation
Bmcgarry194/squirrels_of_new_york
Bmcgarry194/streamlit_walkthrough