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https://github.com/koalaverse/homlr-2ed

Code and resources for the 2nd edition of "Hands-on Machine Learning with R: An applied book covering the fundamentals of machine learning with R" by Boehmke & Greenwell
https://github.com/koalaverse/homlr-2ed

machine-learning

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Code and resources for the 2nd edition of "Hands-on Machine Learning with R: An applied book covering the fundamentals of machine learning with R" by Boehmke & Greenwell

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# Hands-on Machine Learning with R (2nd Edition)

Code and resources for the 2nd edition of "Hands-on Machine Learning with R: An applied book covering the fundamentals of machine learning with R" by Boehmke & Greenwell, 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 learners
- and more!