Titanic: Machine learning from disaster

Abstract

The objective of this CCS is to come up with a predictive model to predict which of the passengers survived Titanic ship wreck. In particular, the response variable “Survived” will be modelled given ten possible predictors. The remainder of this report includes background on the methods used to build the predictive model, specifically linear and logistic regression, Ada boost and random forests.