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Titanic Survivers Machine Learning Project

This project consists of the production of a model that, based on a series of data about the passengers of the Titanic, can predict whether a passenger with certain data would have survived the accident or not.

Data required:

  • Passenger id;
  • Passenger Class;
  • Passenger Sex;
  • Passenger Age;
  • SibSp (of siblings / spouses aboard the Titanic);
  • Parch (of parents / children aboard the Titanic);
  • Passenger Fare;
  • Cabin (Cabin number);
  • Embarked (Port of Embarkation).

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A simple machine learning solution for the problem of Titanic Survivers.

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