Skip to content

Entry in the Titanic: Machine Learning from Disaster competition @ kaggle.com

Notifications You must be signed in to change notification settings

mdelhey/kaggle-titanic

Repository files navigation

kaggle-titanic

============== Entry in the Titanic: Machine Learning from Disaster competition @ kaggle.com.

Authors:

R files and submissions

  • 1-clean.r:
    • fixes data structures and missing values
  • 2-randomForest:
    • creates randomForest model
  • 3-SVM:
    • creates Support Vector Machine model
  • 4-probit:
    • creates probability unit model
  • 5-model_testing:
    • evaluates the accuracy of model

About

Entry in the Titanic: Machine Learning from Disaster competition @ kaggle.com

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages