Fairlearn is an open-source Python package that helps machine learning practitioners assess and improve the fairness of their models. With Fairlearn, you can identify and mitigate sources of unfairness in your training data and model predictions, allowing you to create more equitable and unbiased models. Fairlearn provides several algorithms and metrics for assessing and mitigating bias, as well as visualization tools for exploring fairness in your data. By integrating Fairlearn into your machine learning workflow, you can promote fairness and social responsibility in your model development.
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