Mastering Predictive Analytics with R Second Edition
by Rui Miguel Forte, James D. Miller
Mastering Predictive Analytics with R - Second Edition
- Mastering Predictive Analytics with R Second Edition
- Table of Contents
- Mastering Predictive Analytics with R Second Edition
- Credits
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Customer Feedback
- Preface
- 1. Gearing Up for Predictive Modeling
- Models
- Types of model
- The process of predictive modeling
- Summary
- 2. Tidying Data and Measuring Performance
- 3. Linear Regression
- 4. Generalized Linear Models
- 5. Neural Networks
- 6. Support Vector Machines
- 7. Tree-Based Methods
- 8. Dimensionality Reduction
- Defining DR
- Correlated data analyses
- Scatterplots
- Causation
- The degree of correlation
- Reporting on correlation
- Principal component analysis
- Using R to understand PCA
- Independent component analysis
- Defining independence
- ICA pre-processing
- Factor analysis
- Explore and confirm
- Using R for factor analysis
- The output
- NNMF
- Summary
- Defining DR
- 9. Ensemble Methods
- 10. Probabilistic Graphical Models
- 11. Topic Modeling
- 12. Recommendation Systems
- 13. Scaling Up
- 14. Deep Learning
- Index
-
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