https://github.com/jldbc/titanic_ml

Kaggle 'Machine Learning from Disaster' competition submission
https://github.com/jldbc/titanic_ml

Last synced: about 19 hours ago
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Kaggle 'Machine Learning from Disaster' competition submission

• Host: GitHub
• URL: https://github.com/jldbc/titanic_ml
• Owner: jldbc
• Created: 2015-08-06T01:51:49.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2015-08-06T19:43:04.000Z (almost 11 years ago)
• Last Synced: 2025-10-30T13:48:14.709Z (8 months ago)
• Language: R
• Homepage:
• Size: 121 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Machine Learning from Disaster

Code from Kaggle Titanic competition submission. Examines decision tree and random forest approaches to 

predicting passenger survival, and uses feature engineering to refine key variables. Uses DataCamp tutorial as inspiration.