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  1. Predict survival on the Titanic and get familiar with ML basics.

  2. gist.github.com › fyyying › 4aa5b471860321d7b47fd881898162b7titanic_dataset.csv · GitHub

    Apr 9, 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.

  3. A public repo of datasets. Contribute to datasciencedojo/datasets development by creating an account on GitHub.

  4. 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'.

  5. Exploring Passenger Profiles and Survival Rates aboard the RMS Titanic. Exploring Passenger Profiles and Survival Rates aboard the RMS Titanic. code. New Notebook. table_chart. New Dataset. tenancy. New Model. emoji_events. New Competition. corporate_fare. New Organization. No Active Events. Create notebooks and keep track of their status here. add New Notebook. auto_awesome_motion. 0 Active Events. expand_more. menu. Skip to content. Create. search. explore. Home. emoji_events.

  6. 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

  7. web.stanford.edu › class › cs102Stanford University

    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 ...

  8. The Titanic passengers data set. GitHub Gist: instantly share code, notes, and snippets.

  9. Download, explore, and wrangle the Titanic passenger manifest dataset with an eye toward developing a predictive model for survival. This tutorial is based on the Kaggle Competition, "Predicting Survival Aboard the Titanic".

  10. 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,...

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