seanjtaylor Goto Github PK
Name: Sean J. Taylor
Type: User
Bio: Decision Science Products at Lyft. Keywords: Experiments, Causal Inference, Statistics, Machine Learning, Economics.
Location: San Francisco, CA
Blog: http://seanjtaylor.com/
Sean J. Taylor's Projects
arrayserver
Serves Numpy Arrays Persistently in Memory Mapped Files
basis
Basis data, analysis, and visualization
causalinference
Slides on Causal Inference Problems
decomposition
echo_kernel
A simple example kernel for Jupyter
ergo
A Python library for integrating model-based and judgmental forecasting
fantasy-football
Fantasy Football Analysis
gas-price-forecast
Demo of forecasting gas prices
identify_effects_in_social_media
Reproduction materials for "Identify Effects in Social Media"
identitytalk
interview
Stats and Algorithm Code Snippets for Practice
jsm-big-data
Slides from my talk at JSM 2014
learning-the-draft
Machine Learning the NFL Draft
mashit
multiway_bootstrap
Implemention of the multiway bootstrap (including the online Pigeonhole bootstrap and the online tensor bootstrap). This method is for bootstrapping data arrays of arbitrary order, such as data arising from crossed random effects. Implements method in Owen, A.B. & Eckles, D. (2012). Bootstrapping data arrays of arbitrary order. To appear in Annals of Applied Statistics.
nfl-drives
Scraping and Analysis of NFL Drives
nfl-seasons
Plots of NFL team sentiment over the 2013 season
nflranking
Ranking NFL teams
pipette
Civilized Data Processing in Python
scikit-learn
scikit-learn: machine learning in Python
sdf
Simple SDF mesh generation in Python
seanjtaylor.com
Personal website
seanjtaylor.github.com
Homepage
taocp
Code, notes, and solutions for Knuth's TAOCP.
treasury-data
Scraper/Parser for Daily Treasury Statements
usa-dashboard
Collecting and visualizing metrics about the United States
world-cup-map
Map of Facebook Friendships Between Visitors to the 2014 World Cup
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