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Predict survival on the Titanic and get familiar with ML basics Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more
Feb 12, 2023 · Dataset describing the survival status of individual passengers on the Titanic. Missing values in the original dataset are represented using ?. Float and int missing values are replaced with -1, string missing values are replaced with 'Unknown'.
titanic: Titanic Passenger Survival Data Set. This data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner "Titanic", summarized according to economic status (class), sex, age and survival.
Jul 31, 2024 · Raw. 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.
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 ...
Analyze the Titanic dataset to uncover insights about passenger survival using Python. Key features include data cleaning, exploratory data analysis, and visualizations with Pandas, NumPy, Matplotlib, and Seaborn. The project provides a comprehensive look into factors affecting survival rates.
Oct 16, 2017 · The original Titanic dataset, describing the survival status of individual passengers on the Titanic. The titanic data does not contain information from the crew, but it does contain actual ages of half of the passengers.
An in-depth analysis of the Titanic dataset, exploring passenger demographics, survival rates, and other key metrics using Python. This repository contains code for data acquisition, preprocessing,...
Jan 2, 2018 · Classify whether a passenger on board the maiden voyage of the RMS Titanic in 1912 survived given their age, sex and class
