Passenger data analysis of Titanic using machine learning approach in the context of chances of surviving the disaster
Document Type
Conference Proceeding
Publication Title
IOP Conference Series: Materials Science and Engineering
Abstract
Titanic disaster occurred about 100 years back but still it attracts the researchers to understand and study that how some passengers survived and others perished. In this work, the characteristics of the passengers will be identified and the relationship of survival chance from the disaster is found. Feature engineering techniques will be performed, where the alphabetic values will be changed to numeric values, the family size will be calculated. Also, we will extract the title from the name, and deck label from ticket number. Classification is done using Decision tree machine learning classification algorithm using two classes which are survived and not survived. R programming has been used for its implementation. Clustering is performed using KMeans machine learning algorithm. Its implementation has been done using Python programming.
DOI
10.1088/1757-899X/1065/1/012042
Publication Date
2-16-2021
Recommended Citation
Haque, Md Arfinul; Shivaprasad, G.; and Guruprasad, G., "Passenger data analysis of Titanic using machine learning approach in the context of chances of surviving the disaster" (2021). Open Access archive. 3066.
https://impressions.manipal.edu/open-access-archive/3066
