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The data directory contains the train.csv and test.csv files, which are used to train your model and evaluate its performance respectively.
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The random-forest.R file is a skeleton of a random forest implementation in R. Details that still need to be filled in would be any feature extraction, identification of which columns to include in your model, and any customization on the building of the random forest itself.
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Getting started materials for the Kaggle Titanic survivorship prediction problem