• Applied Predictive Modeling
  • Table of Contents
  • Data
  • Figures
  • Computing
  • Errata
  • Blog
  • About
  • Links
  • Training

Applied Predictive Modeling Applied Predictive Modeling

  • Applied Predictive Modeling
  • Table of Contents
  • Data
  • Figures
  • Computing
  • Errata
  • Blog
  • About
  • Links
  • Training
model_process.png

Early draft of our "Feature Engineering and Selection" book

model_process.png

Kjell and I are writing another book on predictive modeling, this time focused on all the things that you can do with predictors. It's about 60% done and we'd love to get feedback. You cna take a look at http://feat.engineering and provide feedback at https://github.com/topepo/FES/issues.

The current TOC is:

  1. Introduction
  2. Illustrative Example: Predicting Risk of Ischemic Stroke
  3. A Review of the Predictive Modeling Process
  4. Exploratory Visualizations
  5. Encoding Categorical Predictors
  6. Engineering Numeric Predictors
  7. Detecting Interaction Effects (these later chapters are not finished yet)
  8. Flattening Profile Data
  9. Handling Missing Data
  10. Feature Engineering Without Overfitting
  11. Feature Selection

Tagged with Feature Engineering, feature selection, Books, R.

May 14, 2018 by Max Kuhn.
  • May 14, 2018
  • Max Kuhn
  • Feature Engineering
  • feature selection
  • Books
  • R
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Applied Predictive Modeling Applied Predictive Modeling

Applied Predictive Modeling is a book on the practice of modeling when accuracy is the primary goal.

  • Applied Predictive Modeling
  • Table of Contents
  • Data
  • Figures
  • Computing
  • Errata
  • Blog
  • About
  • Links
  • Training
Applied Predictive Modeling
$85.45
By Max Kuhn, Kjell Johnson
Buy on Amazon