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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
Last synced: 5 days ago
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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
- Host: GitHub
- URL: https://github.com/koalaverse/homlr-2ed
- Owner: koalaverse
- License: mit
- Created: 2022-12-06T16:24:54.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-24T23:23:16.000Z (3 months ago)
- Last Synced: 2024-10-25T02:58:31.708Z (3 months ago)
- Topics: machine-learning
- Language: TeX
- Homepage: https://koalaverse.github.io/homlr-2ed/
- Size: 48.5 MB
- Stars: 7
- Watchers: 3
- Forks: 0
- Open Issues: 11
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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!