In this liveProject, you’ll compute and chart metrics that show the key characteristics in Home Mortgage Disclosure Act (HMDA) dataset, and investigate relationships between key demographics and other features that may lead to a biased machine learning model. You’ll compute and chart “equality of outcome” bias metrics, and produce a report into your insights.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
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prerequisites
The liveProject is for beginner data scientists and software engineers looking to tackle the basic principles of measuring and mitigating ML bias. To begin this liveProject, you will need to be familiar with:
TOOLS
Basic Python
Basic Jupyter Notebook
Basic pandas
Basic scikit-learn
Basic seaborn
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Basic machine learning
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