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The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 150.

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harmanveer-2546/Titanic-Survival-prediction-with-20-Algorithm

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Titanic Survival prediction with 20 Algorithm :

Titanic Survival Prediction Using Machine Learning is a tool that uses data to guess if passengers survived the Titanic sinking. It looks at factors like age, gender, and ticket class to make its guesses. The goal is to understand what influenced survival rates on the ship.

This Project aims to:

  • Dataset exploration using various types of data visualization.
  • Build various ML models that can predict survivors of titanic passenger

The machine learning models used in this project are:

  1. LogisticRegression
  2. Support Vector Machines
  3. KNeighborsClassifier
  4. GaussianNB
  5. Perceptron
  6. LinearSVC
  7. SGDClassifier
  8. DecisionTreeClassifier
  9. RandomForestClassifier
  10. MLPClassifier
  11. XGBClassifier
  12. ExtraTreesClassifier
  13. AdaBoostClassifier
  14. Lgb Classifier
  15. NuSVC
  16. HistGradientBoostingClassifier
  17. GaussianProcessClassifier
  18. RidgeClassifier
  19. CalibratedClassifierCV
  20. PassiveAggressiveClassifier

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