Appendix C. Online Resources

The following is a short list of resources including presentations, links to documentation, freely available IPython Notebooks, and data.

IPython notebooks and open data

For more information on IPython notebooks and open data, you can refer to the following:

• Data science Python notebooks available at https://github.com/donnemartin/data-science-ipython-notebooks (retrieved January 2016)
• A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks available at https://github.com/rasbt/pattern_classification (retrieved January 2016)
• Awesome public datasets available at https://github.com/caesar0301/awesome-public-datasets (retrieved January 2016)
• UCI machine learning datasets available at https://archive.ics.uci.edu/ml/datasets.html (retrieved January 2016)
• Gallery of interesting IPython notebooks available at https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks (retrieved...