Jae Yeon Kim's Projects
Bias and Fairness Audit Toolkit
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
✨ Recognize all contributors, not just the ones who push code ✨
Analyzing archival data (replication data for the SAPD papaer)
:bar_chart: Methods of Applied Statistics Course Textbook Repository
detect demographic differences in the output of machine learning models or other assessments
An index of algorithms for learning causality with data
Mitigating Bias in the data using AI Fairness 360 state-of-the-art bias mitigating algorithms
A minimal book example using bookdown
Generate bootstrapped confidence intervals for A/B testing in Python.
Uplift modeling and causal inference with machine learning algorithms
Reproduction data for Civic Opportunity paper (de Vries, Kim, Han, 2022)
Computational Thinking for Social Scientists book project
Analyzing list experiments
The coronavirus dataset
Investigating how COVID-19 shaped Anti-Asian Climate
Create a resume using pagedown
Slides, paper notes, class notes, blog posts, and research on machine learning, statistics, and artificial intelligence.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Digital Data Collection Workshop
estimatr: Fast Estimators for Design-Based Inference
Checks for Exclusion Criteria in Online Data
Draft of the fastai book