Machine Learning with R Cookbook, Second Edition

Table of Contents

1. Practical Machine Learning with R
2. Data Exploration with Air Quality Dataset
3. Analysing Time Series Data
4. R and Statistics
5. Understanding Regression Analysis
6. Survival Analysis
7. Classification (I)
8. Classification (II)
9. Model Evaluation
10. Ensemble Learning
11. Clustering
12. Association Analysis and Sequence Mining
13. Dimension Reduction
14. Big Data Analysis (R and Hadoop)