With the advent of the World Wide Web and the relatively low cost of bandwidth these days, most developers, researchers, or just 'Net addicts have more data to hand than they know what to do with. Trying to find A without finding B or C but perhaps in conjunction with D and E can be like finding a piece of straw in a field of hay. Unsurprisingly, a field of research called 'data mining' has developed around these kinds of problems. One of the most powerful tools used in mining data is a decision tree.
Recently, O'Reilly's ONLamp.com carried a discussion on mining data using decision trees that are written in Python. If you enjoy the power and flexibility of Python and would like to know how to access the right data quickly, this tutorial will be a help. If you are unsure what Python is, please be sure to read "What is Python?" and check out the tutorials for learning it.
Recently, O'Reilly's ONLamp.com carried a discussion on mining data using decision trees that are written in Python. If you enjoy the power and flexibility of Python and would like to know how to access the right data quickly, this tutorial will be a help. If you are unsure what Python is, please be sure to read "What is Python?" and check out the tutorials for learning it.
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