• Day 1 (11/Mar, Monday)
  • Brief introduction to Predictive Analytics
  • Evaluation Metrics for Regression
  • Hands On Exercises
  • Multiple Linear Regression
  • Hands On Exercises
  • Support Vector Machines
  • Hands On Exercises
  • k-Nearest Neighbours
  • Hands On Exercises
• Day 2 (13/Mar, Wednesday)
  • Tree-based models (classification and regression trees)
  • Hands On Exercises
  • Methods of Estimating Predictive Performance
  • The package performanceEstimation
  • Hands On Exercises
  • Asserting statistical significance
  • Hands On Exercises