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

  2. Refresh. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

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

    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.

  4. May 22, 2024 · Titanic Dataset – It is one of the most popular datasets used for understanding machine learning basics. It contains information of all the passengers aboard the RMS Titanic, which unfortunately was shipwrecked. This dataset can be used to predict whether a given passenger survived or not. The csv file can be downloaded from Kaggle.

  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”.

  6. 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...

  7. 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,...

  8. Explore and run machine learning code with Kaggle Notebooks | Using data from No attached data sources.

  9. 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.

  10. 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 ...

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