Titanic Traveller Survivability Prediction

John Phillip

Last update: Jan 20, 2022

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Overview

Titanic Traveller Survivability Prediction

The aim of the mini project is predict whether or not a passenger survived based on attributes such as their age, sex, passenger class, where they embarked and more.

The data is sourced from the Kaggle Titanic dataset. The data is split into two groups:

Training Set
Testing Set

Data Dictionary

Variable	Description	Key
survival	Survival	0 = No, 1 = Yes
pclass	Ticket class	1 = 1st, 2 = 2nd, 3 = 3rd
sex	sex
Age	Age in years
sibsp	# of siblings / spouses aboard the Titanic
parch	# of parents / children aboard the Titanic
ticket	Ticket number
fare	Passenger fare
cabin	Cabin number
embarked	Port of Embarkation	C = Cherbourg, Q = Queenstown, S = Southampton

Variable Notes

pclass: A proxy for socio-economic status (SES) 1st = Upper 2nd = Middle 3rd = Lower

age: Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5

sibsp: The dataset defines family relations in this way... Sibling = brother, sister, stepbrother, stepsister Spouse = husband, wife (mistresses and fiancés were ignored)

parch: The dataset defines family relations in this way... Parent = mother, father Child = daughter, son, stepdaughter, stepson Some children travelled only with a nanny, therefore parch=0 for them.

Requirements

Pandas
Scikit-Learn
Matplotlib
Numpy

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Titanic Traveller Survivability Prediction

Related tags

Overview

Titanic Traveller Survivability Prediction

Data Dictionary

Variable Notes

Requirements

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Owner

John Phillip

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