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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

ISSN: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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  Published Paper Details:

  Paper Title        

SURVIVAL PREDICTION FOR TITANIC DATA USING MACHINE LEARING ALGORITHMS

  Authors

P. Ravindra

  Keywords

Machine learning, Logistic Regression, Decision Trees, Feature Engineering, Titanic Dataset

  Abstract


RMS Titanic sinking is one of the most infamous shipwrecks in history. During its maiden voyage, the Titanic sank after colliding with an iceberg, killed many passengers including 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 paper we are going to make the predictive analysis of what sorts of people were likely to survive and using some tools in machine learning to predict which passengers survived the tragedy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTNTSE024

  Paper ID - 181740

  Page Number(s) - 111-113

  Pubished in - Volume 6 | Issue 1 | February 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

P. Ravindra,   "SURVIVAL PREDICTION FOR TITANIC DATA USING MACHINE LEARING ALGORITHMS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.111-113, February 2018, Available at :http://www.ijcrt.org/papers/IJCRTNTSE024.pdf

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ISSN and 7.97 Impact Factor Details
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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