Titanic Machine Learning from Disaster

Building a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (i.e. name, age, gender, socio-economic class, etc)

Getting Started

• Two similar datasets that include passenger information like name, age, gender, socio-economic class, etc.
• Dataset - 1 is titled train.csv Train.csv will contain the details of a subset of the passengers on board (891 to be exact) and importantly, will reveal whether they survived or not, also known as the “ground truth”.
• Dataset - 2 is titled test.csv. The test.csv dataset contains similar information but does not disclose the “ground truth” for each passenger. It’s your job to predict these outcomes.

Prerequisites

Installing

Authors

• Jerin P Rajan