Journal IJCRT UGC-CARE, UGCCARE( ISSN: 2320-2882 ) | UGC Approved Journal | UGC Journal | UGC CARE Journal | UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, International Peer Reviewed Journal and Refereed Journal, ugc approved journal, UGC CARE, UGC CARE list, UGC CARE list of Journal, UGCCARE, care journal list, UGC-CARE list, New UGC-CARE Reference List, New ugc care journal list, Research Journal, Research Journal Publication, Research Paper, Low cost research journal, Free of cost paper publication in Research Journal, High impact factor journal, Journal, Research paper journal, UGC CARE journal, UGC CARE Journals, ugc care list of journal, ugc approved list, ugc approved list of journal, Follow ugc approved journal, UGC CARE Journal, ugc approved list of journal, ugc care journal, UGC CARE list, UGC-CARE, care journal, UGC-CARE list, Journal publication, ISSN approved, Research journal, research paper, research paper publication, research journal publication, high impact factor, free publication, index journal, publish paper, publish Research paper, low cost publication, ugc approved journal, UGC CARE, ugc approved list of journal, ugc care journal, UGC CARE list, UGCCARE, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, ugc care list 2021, ugc approved journal in 2021, Scopus, web of Science.
How start New Journal & software Book & Thesis Publications
Submit Your Paper
Login to Author Home
Communication Guidelines

WhatsApp Contact
Click Here

  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

  Share this article

  Article Preview

  Indexing Partners

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
Call For Paper May 2024
Indexing Partner
ISSN and 7.97 Impact Factor Details


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


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

Providing A Free digital object identifier by DOI.one How to get DOI?
For Reviewer /Referral (RMS) Earn 500 per paper
Our Social Link
Open Access
This material is Open Knowledge
This material is Open Data
This material is Open Content
Indexing Partner

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)

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer