Many have seen James Cameron’s 1997 block- buster ”Titanic”, starring the young and handsome Leonardo DiCaprio and Kate Winslet. Although most people are only interested in the dramatic aspect of ”modern history’s deadliest peacetime commercial marine disaster”, we are mainly interested in finding underlying patterns in the survivability of the different groups of passengers and predicting whether a certain person would have been more likely to survive or die. This data set was obtained from Kaggle. It contains 891 observations (distinct passengers), together with attributes such as Age, Sex and whether they survived or not. We are mainly interested in predicting whether a certain person would have been more likely to survive or die. The machine learning problem would then be of the classification type. We are given the attributes of one passenger and want to build a model that predicts whether a passenger was likely to survive or not. This is a binary classification problem since there are only two choices (survives or dies).