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Predicting Passenger Survival Rates on the Titanic

Prateek Chanda


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  <dc:creator>Prateek Chanda</dc:creator>
  <dc:date>2017-12-08</dc:date>
  <dc:description>
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. 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 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.



In this problem, we complete the analysis of what sorts of people were likely to survive. 

In this project, you will create decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster based on each passenger’s features, such as sex and age.


 </dc:description>
  <dc:identifier>https://zenodo.org/record/1098228</dc:identifier>
  <dc:identifier>10.5281/zenodo.1098228</dc:identifier>
  <dc:identifier>oai:zenodo.org:1098228</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.1098227</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/legalcode</dc:rights>
  <dc:subject>titanic survival</dc:subject>
  <dc:subject>Machine Learning</dc:subject>
  <dc:subject>Classification</dc:subject>
  <dc:title>Predicting Passenger Survival Rates on the Titanic</dc:title>
  <dc:type>info:eu-repo/semantics/report</dc:type>
  <dc:type>publication-deliverable</dc:type>
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