Prepare

Due: March 12, 2024

Learning objectives

• Define the concept of fairness in machine learning
• Introduce metrics for evaluating fairness and equity in model performance
• Implement fairness-aware machine learning models
• Utilize workflow sets to screen many models
• Justify appropriate criteria for evaluating model performance and selecting a final model

Preparations

📖 Read

⌨️ Do