https://github.com/eloyekunle/udacity_titanic

Predicting survivors in the titanic using Machine Learning.
https://github.com/eloyekunle/udacity_titanic

machine-learning titanic udacity-machine-learning-nanodegree

Last synced: 25 days ago
JSON representation

Predicting survivors in the titanic using Machine Learning.

• Host: GitHub
• URL: https://github.com/eloyekunle/udacity_titanic
• Owner: eloyekunle
• Created: 2016-08-31T12:05:14.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-07-02T11:35:10.000Z (over 7 years ago)
• Last Synced: 2024-10-29T10:47:36.141Z (2 months ago)
• Topics: machine-learning, titanic, udacity-machine-learning-nanodegree
• Language: HTML
• Homepage:
• Size: 171 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Project 0: Introduction and Fundamentals

## 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 an [iPython Notebook](http://ipython.org/notebook.html)

Udacity recommends our students install [Anaconda](https://www.continuum.io/downloads), a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

### Code

Template code is provided in the notebook `titanic_survival_exploration.ipynb` notebook file. Additional supporting code can be found in `titanic_visualizations.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.

### 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 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)

Copyright: elijahoyekunle.com