https://github.com/lgatto/intromachinelearningwithr
An Introduction to Machine Learning with R
https://github.com/lgatto/intromachinelearningwithr
Last synced: about 2 months ago
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An Introduction to Machine Learning with R
- Host: GitHub
- URL: https://github.com/lgatto/intromachinelearningwithr
- Owner: lgatto
- Created: 2017-08-23T19:39:22.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-05-16T06:38:27.000Z (almost 2 years ago)
- Last Synced: 2025-03-16T06:41:17.193Z (about 2 months ago)
- Language: R
- Homepage: http://bit.ly/intromlr
- Size: 11.8 MB
- Stars: 78
- Watchers: 10
- Forks: 36
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
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README
# An Introduction to Machine Learning with R
This introductory workshop on machine learning with R is aimed at
participants who are not experts in machine learning (introductory
material will be presented as part of the course), but have some
familiarity with scripting in general and R in particular. The
workshop will offer a hands-on overview of typical machine learning
applications in R, including unsupervised (clustering, such as
hierarchical and k-means clustering, and dimensionality reduction,
such as principal component analysis) and supervised (classification
and regression, such as K-nearest neighbour and linear regression)
methods. We will also address questions such as model selection using
cross-validation. The material has an important hands-on component and
readers should have a computer running R 3.4.1 or later.
Read the latest version of the the course at http://bit.ly/intromlr
Taught on
- [2017-10-11 Mind Mastering Macines (M3), London](http://2017.mcubed.london/)
([version of material taught](https://github.com/lgatto/IntroMachineLearningWithR/tree/20171011))
### License
This material is licensed under the
[Creative Commons Attribution-ShareAlike 3.0 License](http://creativecommons.org/licenses/by-sa/3.0/). Some
content is inspired by other sources though, see the *Credit* section
in the material.