Jessie J. Smith's starred repositories
inFairness
PyTorch package to train and audit ML models for Individual Fairness
personal-sentiment-analysis
Data Science project that implements sentiment analysis on your personal facebook account. By cross-examining the public timeline posts vs. the private messages, I created visualizations to discover if my private sentiment is different than my public sentiment. Then, I used a machine learning algorithm to predict what my future sentiment might be.
fairness-ml-tutorial
Open Source tutorial for introductory data scientists to implement fairness models to correct for training data redundantly encoded with bias.
FairnessFeedback
The repo that holds the code for the ongoing study assessing whether fairness metrics can help minimize unwanted feedback loops in certain multistakeholder recommender systems.
DatosProfundos
An open source repository for English and Spanish speakers who are interested in learning how to use data science to create a social impact.
TwitterTrends
A tutorial to reverse engineer Twitter's trending algorithm. In this repo you will also find a report that highlights some ethical concerns with social media engagement manipulation.