This project explores the topic of bias and fairnness in Machine Learning using the UCI Adult dataset. It provides familiarity with the concept of bias in Machine Learning, explores differnt metrics used to quantify bias in machine learning, and demonstrates data and model-based approaches to audit bias and fairness in Machine Learning.
-
Notifications
You must be signed in to change notification settings - Fork 0
This project explores the topic of bias and fairnness in Machine Learning using the UCI Adult dataset. It provides familiarity with the concept of bias in Machine Learning, explores differnt metrics used to quantify bias in machine learning, and demonstrates data and model-based approaches to audit bias and fairness in Machine Learning.
License
simplesaad/AuditingBiasAndFairness
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This project explores the topic of bias and fairnness in Machine Learning using the UCI Adult dataset. It provides familiarity with the concept of bias in Machine Learning, explores differnt metrics used to quantify bias in machine learning, and demonstrates data and model-based approaches to audit bias and fairness in Machine Learning.
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published