Learning Data Mining with Python

Next Steps…
During the course of this book, there were lots of avenues not taken, options not
presented, and subjects not fully explored. In this Appendix, I've created a collection
of next steps for those wishing to undertake extra learning and progress their data
mining with Python. Consider this Hero mode, the second question, of the book.
This appendix is broken up by chapter, with articles, books, and other resources for
learning more about data mining. Also included are some challenges to extend the
work performed in the chapter. Some of these will be small improvements; some
will be quite a bit more work—I've made a note on those tasks that are noticeably
more extensive than the others.
Chapter 1 – Getting Started with Data
Mining
Scikit-learn tutorials
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.
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