5. Methods for Feature Engneering

Topics, Class Notes and Code Assignments and Side Readings
  • EDA-based Feature Engineering
    • Handling missing values
    • Discretization
    • Feature transformation
  • Model-based Feature Engineering
    • Principal component analysis
    • Clustering analysis
  • Other Methods of Feature Creation
    • Extracting features from text
    • Extracting features from date
    • Feature scaling and standardization
  • Notes and code
  • Optional Reading: Feature Engineering for Machine Learning | PDF |
    • Chapter 2
    • Chapter 4
  • A Case Study
  • Written Assignment- Part I
    • Description |HTML| PDF|
    • This is the first part of the assignment. The final combined report of assignment parts I and II (next week) will be due next.