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Apr 9, 2024 · titanic_dataset.csv. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters. Show hidden characters. PassengerId.
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last,first,gender,age,class,fare,embarked,survived Braund,Mr. Owen Harris,M,22,3,7.25,Southampton,no Cumings,Mrs. John Bradley (Florence Briggs Thayer),F,38,1,71.2833 ...
About. Kaggle Competition | Titanic Machine Learning from Disaster. The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden...
The dataset containing information about passengers aboard the Titanic is one of the most famous datasets used in data science and machine learning. It was created to analyze and understand the factors that influenced survival rates among passengers during the tragic sinking of the RMS Titanic on April 15, 1912.
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Titanic passenger data set# See: odsti/titanic. You will find versions of this dataset scattered around the interwebs, but the file titanic_stlearn.csv contains data for the passengers on the Titanic, derived from a version of these data contained in the Stablelearner R package.
Survived,Pclass,Name,Sex,Age,Siblings/Spouses Aboard,Parents/Children Aboard,Fare 0,3,Mr. Owen Harris Braund,male,22,1,0,7.25 1,1,Mrs. John Bradley (Florence Briggs ...
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Jan 2, 2018 · This data set contains the survival status of 1309 passengers aboard the maiden voyage of the RMS Titanic in 1912 (the ships crew are not included), along with the passengers age, sex and class (which serves as a proxy for economic status). 70% of the data was selected (using stratified sampling) for the training set.
