Molly Offer-Westort's repositories
shiny_adaptive
Shiny tutorial on adaptive experimentation
shrinkage-tutorial
Hierarchical Ridge Regression
SOP
Standard Operating Procedures
blog
code and data for posts from https://garstats.wordpress.com
contextual_bandits_evaluation
Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
jekyll-theme-unit-test
Sample Jekyll content (posts, pages, collections, and images) to test your theme against.
mollyow.github.io
personal website
react-wordle
A fun Wordle clone made using React, Typescript, and Tailwind
swot
Identify email addresses or domains names that belong to colleges or universities. Help automate the process of approving or rejecting academic discounts.