Machine Learning with R Cookbook (2015)

Machine Learning with R Cookbook (2015)

Chapter 1: Practical Machine Learning with R

Chapter 2: Data Exploration with RMS Titanic

Chapter 3: R and Statistics

Chapter 4: Understanding Regression Analysis

Chapter 5: Classification (I) – Tree, Lazy, Probabilistic

Chapter 6: Classification (II) – Neural Network, SVM

Chapter 7: Model Evaluation

Chapter 8: Ensemble Learning

Chapter 9: Clustering

Chapter 10: Association Analysis and Sequence Mining

Chapter 11: Dimension Reduction

Chapter 12: Big Data Analysis (R and Hadoop)

Appendix A: Resources for R and Machine Learning

Appendix B: Dataset – Survival of Passengers on the Titanic



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