Machine Learning Section 007

Preprocessing and Feature Selection

Everything that happens to your data between the CSV and the model, and how to pick the columns worth keeping.

9 of 9 lessons published Three reading levels on every lesson

Start with “Feature scaling”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. Feature scaling
  2. Power transforms
  3. Binning and discretisation
  4. The hashing trick
  5. Filter feature selection
  6. Recursive feature elimination
  7. Boruta and shadow features
  8. Sample weights
  9. Learning from data that does not fit in memory