TY  - BOOK
AU  - Boehmke, Brad
AU  - Greenwell, Brandon
TI  - Hands-on Machine Learning with R
SN  - 9781138495685
U1  - 006.31 
PY  - 2020///
CY  - Boca Raton
PB  - CRC Press
KW  - Machine Learning - R (Computer Program Language)
N1  - I FUNDAMENTALS
1. Introduction to Machine Learning 
 2. Modeling Process 
3. Feature & Target Engineering  
II SUPERVISED LEARNING 
4. Linear Regression 
 5. Logistic Regression 
6. Regularized 
7. Multivariate Adaptive Regression Splines 
8. K-Nearest Neighbors
 9 Decision Trees 
10. Bagging 
11. Random Forests 
12. Gradient Boosting 1
13. Deep Learning 13.1 Prerequisites 
14. Support Vector Machines 
15. Stacked Models 
16. Interpretable Machine Learning 
III DIMENSION REDUCTION
 17. Principal Components Analysis 
18. Generalized Low Rank Models 
 19. Auto encoders 
IV Clustering 
20. K-means Clustering 
21. Hierarchical Clustering 
22. Model-based Clustering
ER  -