data-science-playground

Collection of Data Science and Data Visualization exercises using:

• Jupyter
• NumPy
• SciPy
• pandas
• scikit-learn

and

• matplotlib
• seaborn
• plotly

Inspirations

• An Introduction to Statistical Learning
• The Elements of Statistical Learning

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 running there).

3. 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, open a pull request, or drop a line.

License

Creative Commons Attribution-ShareAlike 4.0 International license. Please feel free to make alterations via pull-request.