Welcome to the workshop!
Welcome to Handling Imbalanced Datasets!

Today's icebreaker:
What links the three images below and relates to this workshop?
Put you answers in the chat.
Today's learning objectives:
- Identify the business value of using techniques for managing imbalanced class.
- Define how the key concepts of imbalanced class, oversampling/undersampling, SMOTE, Kappa, and AUC support managing bias.
- Apply techniques to address class imbalance and manage bias.