Book Content
chapters • 19h4m total length
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) – Tree, Lazy, and Probabilistic
8. Classification (II) – Neural Network and SVM
9. Model Evaluation
10. Ensemble Learning
11. Clustering
12. Association Analysis and Sequence Mining
13. Dimension Reduction
14. Big Data Analysis (R and Hadoop)
