On Apr 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 shipwreck 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.
We have given detailed information about the people who survived and who did not.
As part of the proem, we are asked to complete the analysis of what sorts of people were likely to survive. In particular, we have to apply the tools of machine learning to predict which passengers survived the tragedy. (See more here)
What type of machine learning problem is this?
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