Disable for time being AdaBoostM1
Drop PassengerId from clustering and put it back at the end
Drop off PassengerId from dataframe; return final fit object
Re-factor the code; took away plots/cabin function and put them into separate plot/data_helpers.R; added break.down helper function for splitting given attribute into binary form
plot helpers
Data manipulator helpers
Bug fix and defition of test.df
Redefinition of test.df; proximity=F
Redefinition of test.df
Add neural net ML
Add LDA ML
Code re-factoring; re-design adjust.data to use data manipulator functions; checkout tickets/cabins from both train and test datasets to create unique set; move from df to train.df to avoid naming collision in R
Add caret