Titanic: Machine Learning from Disaster Predictive Analysis Challenge

Kaggle Titanic Disaster Predictive Analytics Challenge 

Present Global Rank: 10th

Total Global Submission: 7205

In this challenge, data enthusiasts are asked to complete the data analysis of what sorts of people were likely were likely to survive the titanic disaster. 

On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwrecks led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.  

In particular, the competition asked to apply the tools of machine learning to predict which passengers survived the tragedy.