Skip to content

we will explore a subset of the RMS Titanic passenger manifest to determine which features best predict whether someone survived or did not survive

Notifications You must be signed in to change notification settings

CalvinGreen94/titanic_survival_exploration

Repository files navigation

Install

This project requires Python 2.7 and the following Python libraries installed:

You will also need to have software installed to run and execute a Jupyter Notebook

If you do not have Python installed yet, it is highly recommended that you install the Anaconda distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer.

Run

In a terminal or command window, navigate to the top-level project directory titanic_survival_exploration/ (that contains this README) and run one of the following commands:

jupyter notebook titanic_survival_exploration.ipynb

or

ipython notebook titanic_survival_exploration.ipynb

This will open the Jupyter Notebook software and project file in your web browser.

Data

The dataset used in this project is included as titanic_data.csv. This dataset is provided by Udacity and contains the following attributes:

Features

  • pclass : Passenger Class (1 = 1st; 2 = 2nd; 3 = 3rd)
  • name : Name
  • sex : Sex
  • age : Age
  • sibsp : Number of Siblings/Spouses Aboard
  • parch : Number of Parents/Children Aboard
  • ticket : Ticket Number
  • fare : Passenger Fare
  • cabin : Cabin
  • embarked : Port of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton)

Target Variable

  • survival : Survival (0 = No; 1 = Yes)

About

we will explore a subset of the RMS Titanic passenger manifest to determine which features best predict whether someone survived or did not survive

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published