https://github.com/g4brielvs/data-science-playground
Collection of data science and visualization exercises
https://github.com/g4brielvs/data-science-playground
boston-housing-dataset introduction-to-data-science plotly scikit-learn tensorflow
Last synced: 3 months ago
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Collection of data science and visualization exercises
- Host: GitHub
- URL: https://github.com/g4brielvs/data-science-playground
- Owner: g4brielvs
- License: other
- Created: 2015-12-23T02:01:05.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2018-10-03T22:23:21.000Z (over 7 years ago)
- Last Synced: 2025-10-20T21:02:23.005Z (8 months ago)
- Topics: boston-housing-dataset, introduction-to-data-science, plotly, scikit-learn, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 1.68 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# data-science-playground
Collection of Data Science and Data Visualization exercises using:
- [Jupyter](http://jupyter.org)
- [NumPy](http://www.numpy.org)
- [SciPy](http://www.scipy.org)
- [pandas](http://pandas.pydata.org)
- [scikit-learn](http://scikit-learn.org/)
and
- [matplotlib](http://matplotlib.org)
- [seaborn](http://seaborn.pydata.org)
- [plotly](https://plot.ly)
## Inspirations
- [An Introduction to Statistical Learning](https://www-bcf.usc.edu/~gareth/ISL/)
- [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/)
## Installation
*data-science-playground* uses `pipenv` to manage dependencies. It works with Python 3.5+.
1. Clone the repository: `$ git clone git@github.com:g4brielvs/data-science-playground.git`.
2. Go to the repository directory: `$ cd data-science-playground` (if you want, get your [virtualenv](https://pypi.python.org/pypi/virtualenv) running there).
4. Install the dependencies: `$ pipenv install`.
## Example
Just run `jupyter notebook` and select a working notebook. For example:
It opens the notebook on the browser of your choice. You can just hit `Run All` to the see the magic. Voilà!
## Contributing
Feel free to [report an issue](https://github.com/g4brielvs/data-science-playground/issues), [open a pull request](https://github.com/g4brielvs/data-science-playground/pulls), or [drop a line](https://g4brielvs.me).
## License
[Creative Commons Attribution-ShareAlike 4.0 International license](http://creativecommons.org/licenses/by-sa/4.0/).
Please feel free to make alterations via pull-request.