https://github.com/alexlbaker/r-ml-competition

Project for course Statistical & Machine Learning. ML prediction of property sales price as a regression estimate, given 81 variables both catagorical and numeric.
https://github.com/alexlbaker/r-ml-competition

Last synced: 12 months ago
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Project for course Statistical & Machine Learning. ML prediction of property sales price as a regression estimate, given 81 variables both catagorical and numeric.

• Host: GitHub
• URL: https://github.com/alexlbaker/r-ml-competition
• Owner: AlexLBaker
• License: mit
• Created: 2023-02-20T21:06:55.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-09-04T11:55:52.000Z (almost 3 years ago)
• Last Synced: 2025-01-08T05:53:53.895Z (over 1 year ago)
• Homepage:
• Size: 339 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# R-Machine-Learning-Competition

Code uses a number of methods in R Cran library H2o to train an optimal model through trial and error of the prediction score. Gradient boosted decision trees were found to be most effective for the dataset provided.

I hope this repo will give you a look into ML in R by giving you ideas for your own approach.

Best of luck, 

Alexander Baker.