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.
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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.
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simplesaad/AuditingBiasAndFairness
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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.
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