In this chapter following are a few avenues that reader can explore:
URL: http://scikit-learn.org/stable/tutorial/index.html
Included in the scikit-learn documentation is a series of tutorials on data mining. The tutorials range from basic introductions to toy datasets, all the way through to comprehensive tutorials on techniques used in recent research. The tutorials here will take quite a while to get through—they are very comprehensive—but are well worth the effort to learn.
There are also a large number of algorithms that have been implemented for compatability with scikit-learn. These algorithms are not always included in scikit-learn itself for a number of reasons, but a list of many of these is maintained at https://github.com/scikit-learn/scikit-learn/wiki/Third-party-projects-and-code-snippets.
URL: http://ipython.org/ipython-doc/1/interactive/public_server.html
The Jupyter Notebook is a powerful tool...