https://github.com/jldbc/titanic_ml

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

Last synced: 2 months 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 (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-08-06T19:43:04.000Z (over 9 years ago)
• Last Synced: 2025-01-04T02:26:03.592Z (4 months ago)
• Language: R
• Homepage:
• Size: 121 KB
• Stars: 0
• Watchers: 3
• 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.