Week 9: Feature Engineering

Learning Objectives

• 09A I can apply preprocessing steps — scaling and one-hot encoding — and explain why each is needed before modeling.
• 09B I can build a scikit-learn pipeline that chains preprocessing and modeling steps into a single reproducible workflow.
• 09C I can identify how missing data arise (MCAR, MAR, MNAR) and choose appropriate imputation strategies for each case.

Materials

• Monday class
• Wednesday class