https://github.com/tapishr/mlnd-titanic_survival

Implements decision trees to predict if a person on Titanic survived or died
https://github.com/tapishr/mlnd-titanic_survival

Last synced: 11 days ago
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Implements decision trees to predict if a person on Titanic survived or died

• Host: GitHub
• URL: https://github.com/tapishr/mlnd-titanic_survival
• Owner: tapishr
• Created: 2017-08-29T02:14:21.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-08-29T02:15:58.000Z (over 7 years ago)
• Last Synced: 2024-10-24T22:13:55.768Z (about 2 months ago)
• Language: HTML
• Size: 108 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning Engineer Nanodegree

## Introduction and Foundations

## Project: Titanic Survival Exploration

### Install

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

- [NumPy](http://www.numpy.org/)

- [Pandas](http://pandas.pydata.org)

- [matplotlib](http://matplotlib.org/)

- [scikit-learn](http://scikit-learn.org/stable/)

You will also need to have software installed to run and execute a [Jupyter Notebook](http://ipython.org/notebook.html)

If you do not have Python installed yet, it is highly recommended that you install the [Anaconda](http://continuum.io/downloads) 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.

### Code

Template code is provided in the notebook `titanic_survival_exploration.ipynb` notebook file. Additional supporting code can be found in `visuals.py`. While some code has already been implemented to get you started, you will need to implement additional functionality when requested to successfully complete the project. Note that the code included in `visuals.py` is meant to be used out-of-the-box and not intended for students to manipulate. If you are interested in how the visualizations are created in the notebook, please feel free to explore this Python file.

### 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:

```bash

jupyter notebook titanic_survival_exploration.ipynb

```

or

```bash

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)