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Predicting the Likelihood of Survival of Titanic's Passenge..:
, In:
2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)
,
Dasgupta, Anasuya
;
Mishra, Ved Prakash
;
Jha, Sanjiv
.. - p. 52-57 , 2021
Link:
https://doi.org/10.1109/ICCIKE51210.2021.9410757
RT T1
2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)
: T1
Predicting the Likelihood of Survival of Titanic's Passengers by Machine Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9410757&Exemplar=1&LAN=DE A1 Dasgupta, Anasuya A1 Mishra, Ved Prakash A1 Jha, Sanjiv A1 Singh, Bhopendra A1 Shukla, Vinod Kumar YR 2021 K1 Training K1 Analytical models K1 Data analysis K1 Computational modeling K1 Biological system modeling K1 Machine learning K1 Predictive models K1 Feature engineering K1 Data Science K1 Exploratory Analysis K1 Model Evaluation K1 Exploratory Data Analytics SP 52 OP 57 LK http://dx.doi.org/https://doi.org/10.1109/ICCIKE51210.2021.9410757 DO https://doi.org/10.1109/ICCIKE51210.2021.9410757 SF ELIB - SuUB Bremen
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