Interpretable machine learning applications: Part 5

Complete this Guided Project in under 2 hours. You will be able to use the Aequitas Tool as a tool to measure and detect bias in the outcome of a machine ...

• Be acquainted with the basics of the Aequitas Tool as a tool to measure and detect bias in the outcome of a machine learning prediction model.
• Learn more about a real world case study, i.e., predictions of recidivism (COMPAS dataset), and how the prediction model may have been biased.
• Learn a technique, which is largely based on statistical descriptors, for measuring bias and fairness for Machine Learning (ML) prediction models.