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A public repo of datasets. Contribute to datasciencedojo/datasets development by creating an account on GitHub.
Jul 31, 2024 · Download ZIP. 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. Survived. Pclass. Name.
Refresh. Predict survival on the Titanic and get familiar with ML basics.
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.
titanic /titanic.csv. mstz. Upload 2 files. 72f0283 over 1 year ago. raw. Copy download link. history blame contribute delete. No virus. 60 kB. We’re on a journey to advance and democratize artificial intelligence through open source and open science.
titanic_full.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.
The Titanic passengers data set. GitHub Gist: instantly share code, notes, and snippets.
Titanic Dataset - Train.csv will contain the details of a subset of the passengers on board (891 to be exact) and importantly, will reveal whether they survived or not, also known as the “ground truth”.
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'.
