This repository is the home of the Hands-on Machine Learning with R book, which covers commonly applied supervised and unsupervised methods to include:
- Generalized low rank models
- Clustering algorithms
- Autoencoders
- Regularized models
- Random forests
- Gradient boosting machines
- Deep neural networks
- Stacking / super learner
- and more!
See the online book at https://bradleyboehmke.github.io/hands-on-machine-learning-with-r/