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Titanic Dataset
- cubig.ai
Updated May 29, 2025
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EmailClick to copy linkLink copiedCiteCUBIG (2025). Titanic Dataset [Dataset]. https://cubig.ai/store/products/393/titanic-datasetDataset updatedMay 29, 2025Dataset authored and provided byCUBIGLicensehttps://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service
Measurement techniqueSynthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacyDescription1) Data Introduction • Based on passenger information from the Titanic, which sank in 1912, the Titanic Dataset is a representative binary classification data that includes various demographics and boarding information such as Survived, Passengers Class, Name, Sex, Age, SibSp, Parch, Ticket, Fare, Cabin, and Embarked.
2) Data Utilization (1) Titanic Dataset has characteristics that: • It consists of a total of 891 training samples and 12 to 15 columns (numerical and categorical mix) and also includes variables such as Age, Cabin, and Embarked with some missing values, making it suitable for preprocessing and feature engineering practice. (2) Titanic Dataset can be used to: • Development of survival prediction models: Key characteristics such as passenger rating, gender, age, and fare can be used to predict survival with different machine learning classification models such as logistic regression, random forest, and SVM. • Analysis of survival influencing factors: By analyzing the correlation between variables such as gender, age, socioeconomic status, and survival rates, you can statistically and visually explore which groups have a higher survival probability.
titanic
- kaggle.com
zipUpdated Jul 4, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteArpit Kumar (2020). titanic [Dataset]. https://www.kaggle.com/arpikr/titaniczip(22548 bytes)Available download formatsDataset updatedJul 4, 2020AuthorsArpit KumarDescriptionDataset
This dataset was created by Arpit Kumar
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1) Data Introduction • Based on passenger information from the Titanic, which sank in 1912, the Titanic Dataset is a representative binary classification data that includes various demographics and boarding information such as Survived, Passengers Class, Name, Sex, Age, SibSp, Parch, Ticket, Fare, Cabin, and Embarked.
2) Data Utilization (1) Titanic Dataset has characteristics that: • It consists of a total of 891 training samples and 12 to 15 columns (numerical and categorical mix) and also includes variables such as Age, Cabin, and Embarked with some missing values, making it suitable for preprocessing and feature engineering practice. (2) Titanic Dataset can be used to: • Development of survival prediction models: Key characteristics such as passenger rating, gender, age, and fare can be used to predict survival with different machine learning classification models such as logistic regression, random forest, and SVM. • Analysis of survival influencing factors: By analyzing the correlation between variables such as gender, age, socioeconomic status, and survival rates, you can statistically and visually explore which groups have a higher survival probability.