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The sinking of the Titanic is one of the most infamous shipwrecks in history.
On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone on board, resulting in the death of 1502 out of 2224 passengers and crew.
While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.
In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
This dataset has been referred from Kaggle: https://www.kaggle.com/c/titanic/data.
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This dataset was created by Suresh Bhusare
Released under CC0: Public Domain
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This dataset was created by ElisaLeclercB
Released under Database: Open Database, Contents: Database Contents
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The Titanic dataset is a popular dataset used for data analysis and machine learning tasks. It contains various information about passengers aboard the Titanic, including whether they survived or not. Here's a brief description of each of the columns:
PassengerId: A unique identifier for each passenger. Survived: Indicates whether the passenger survived or not. (0 = No, 1 = Yes) Pclass: Ticket class (1 = 1st, 2 = 2nd, 3 = 3rd) Name: Name of the passenger. Sex: Gender of the passenger. Age: Age of the passenger in years. (Fractional if less than 1) SibSp: Number of siblings or spouses aboard the Titanic. Parch: Number of parents or children aboard the Titanic. Ticket: Ticket number. Fare: Fare paid for the ticket. Cabin: Cabin number. Embarked: Port of embarkation (C = Cherbourg, Q = Queenstown, S = Southampton) This dataset is often used for tasks such as predicting survival based on various factors or analyzing demographics of passengers aboard the Titanic.
This dataset was created by VVignesh Kumar
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This dataset was created by JamesG
Released under CC0: Public Domain
This dataset was created by Tip of the iceberg
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset was created by Ashish Jung Basnet
Released under MIT
This dataset was created by Priyanshi Agrawal
This dataset was created by fehu.zone
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by Muhammad Hassaan
Released under CC0: Public Domain
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by Meysam arjomand
Released under CC0: Public Domain
This dataset was created by S YunJae
This dataset was created by Parth Gajmal
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by Mahmoud saad
Released under CC0: Public Domain
This dataset was created by LiuMang
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Ayan Goswami
Released under Apache 2.0
This dataset was created by Bhagesh Kumar
This dataset was created by AkshaySharma_17
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
https://raw.githubusercontent.com/Masterx-AI/Project_Titanic_Survival_Prediction_/main/titanic.jpg" alt="">
The sinking of the Titanic is one of the most infamous shipwrecks in history.
On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone on board, resulting in the death of 1502 out of 2224 passengers and crew.
While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.
In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
This dataset has been referred from Kaggle: https://www.kaggle.com/c/titanic/data.