https://github.com/ginberg/titanic_survival_exploration
Machine learning ND project0
https://github.com/ginberg/titanic_survival_exploration
Last synced: 4 months ago
JSON representation
Machine learning ND project0
- Host: GitHub
- URL: https://github.com/ginberg/titanic_survival_exploration
- Owner: ginberg
- Created: 2016-09-27T08:39:08.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-09-28T00:48:40.000Z (over 9 years ago)
- Last Synced: 2025-10-06T13:29:47.650Z (9 months ago)
- Language: HTML
- Homepage:
- Size: 177 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- 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)