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

  2. gist.github.com › jwalsh › ce1dc0436aba5b7a5c9666f47fa5a380titanic.csv · GitHub

    Feb 9, 2024 · titanic.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.

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

  4. 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 Name Pclass Sex Age Siblings/Spouses Aboard Parents/Children Aboard Fare Survived; Mr. Owen Harris Braund: 3: male: 22: 1: 0: 7.25: 0:

  5. 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”. The `test.csv` dataset contains similar information but does not disclose the “ground truth” for each passenger. It’s your job to predict these outcomes. Using the patterns you find in the train.csv data, predict whether the other 418 passengers on board (found in test.csv) survived.

  6. We’re on a journey to advance and democratize artificial intelligence through open source and open science.

  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. titanic_clean.csv derives from titanic_stlearn.csv, but we have dropped a small number of rows with missing values. By Matthew Brett, Ani Adhikari, John Denero, David Wagner

  9. web.stanford.edu › class › archiveStanford University

    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 ...

  10. Introduction¶. The Titanic sank on April 15, 1912 during her maiden voyage. After colliding with an iceberg, 1502 of its 2224 passengers died. The data set investigated in the following sections contains detailed information about 891 passengers.

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    titanic csv dataset