Prepare

Due: September 3, 2024

prepare
Modified

August 30, 2024

Learning objectives

  • Identify the importance of budgeting data for machine learning
  • Partition data into training and test sets
  • Specify models using the {parsnip} package
  • Utilize workflows to bundle preprocessing and modeling tasks
  • Fit models using the {tidymodels} framework
  • Generate predictions from the fitted model

Preparations

📖 Review

  • Tidy Modeling with R (TMWR): Ch 2, 4-7 - if you’ve previously taken INFO 2950 or 5001 with me, this is likely review and can be skimmed/skipped. If you have little to no prior experience with R and {tidymodels}, I recommend reading these chapters more closely.

📖 Read

⌨️ Do