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

  2. gist.github.com › fyyying › 4aa5b471860321d7b47fdtitanic_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 Kaggle competition to predict survival on the Titanic using machine learning. Learn ML basics and explore the dataset, features, and outcomes of the disaster.

  4. Feb 12, 2023 · A dataset describing the survival status of individual passengers on the Titanic, with missing values and categorical features. Learn how to use the dataset with TensorFlow Datasets API, see the feature structure and documentation, and cite the source.

  5. 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,...

  6. The dataset containing information about passengers aboard the Titanic is one of the most famous datasets used in data science and machine learning. It was created to analyze and understand the factors that influenced survival rates among passengers during the tragic sinking of the RMS Titanic on April 15, 1912.

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  8. Jan 2, 2018 · This data set contains the survival status of 1309 passengers aboard the maiden voyage of the RMS Titanic in 1912 (the ships crew are not included), along with the passengers age, sex and class (which serves as a proxy for economic status). 70% of the data was selected (using stratified sampling) for the training set.

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