Description

Practice splitting data into training and testing sets, constructing model pipelines, and performing hyperparameter tuning. As well as cross-validating alternative models to find the top performer

Learning Objectives


  1. Split data into training and testing sets.
  2. Construct model pipelines.
  3. Perform hyperparameter tuning.
  4. Cross validate alternative models to find the top perform. ?