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

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Data
Data
 
 
Submissions
Submissions
 
 
Visualizations
Visualizations
 
 
.RData
.RData
 
 
.Rhistory
.Rhistory
 
 
.gitignore
.gitignore
 
 
1-clean.R
1-clean.R
 
 
2-randomForest.R
2-randomForest.R
 
 
3-SVM.R
3-SVM.R
 
 
4-gbm.R
4-gbm.R
 
 
4-logit.R
4-logit.R
 
 
4-neuralnet.R
4-neuralnet.R
 
 
4-probit.R
4-probit.R
 
 
4-sofia.R
4-sofia.R
 
 
5-model_testing.R
5-model_testing.R
 
 
6-ensemble.R
6-ensemble.R
 
 
7-caretsemble.R
7-caretsemble.R
 
 
README.md
README.md
 
 
bdt.R
bdt.R
 
 
bdt.r
bdt.r
 
 
boosted.R
boosted.R
 
 
kaggle-titanic.Rproj
kaggle-titanic.Rproj
 
 
niave-bayes.R
niave-bayes.R
 
 

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kaggle-titanic

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

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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

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

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