Udacity MLND Project - Titanic Survival Exploration

This Project aims at predicting survival outcomes, achieving at least 80% accuracy, from the 1912 Titanic disaster based on each passenger’s features, such as sex and age.

Install

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

• NumPy
• Pandas
• matplotlib
• scikit-learn

You will also need to have software installed to run and execute an iPython Notebook

It is recommended to install Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

Run

Download the files in this repository, navigate to the directory containing file 'titanic_survival_exploration.ipynb'. Open a terminal and run one of the following commands:

jupyter notebook titanic_survival_exploration.ipynb

or

ipython notebook titanic_survival_exploration.ipynb

This will open the iPython 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:

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