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Python Data Analysis Cookbook
book

Python Data Analysis Cookbook

by Ivan Idris
July 2016
Beginner to intermediate
462 pages
9h 14m
English
Packt Publishing
Content preview from Python Data Analysis Cookbook

Learning with random forests

The if a: else b statement is one of the most common statements in Python programming. By nesting and combining such statements, we can build a so-called decision tree. This is similar to an old fashioned flowchart, although flowcharts also allow loops. The application of decision trees in machine learning is called decision tree learning. The end nodes of the trees in decision tree learning, also known as leaves, contain the class labels of a classification problem. Each non-leaf node is associated with a Boolean condition involving feature values.

Decision trees can be used to deduce relatively simple rules. Being able to produce such results is, of course, a huge advantage. However, you have to wonder how good these ...

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Publisher Resources

ISBN: 9781785282287Supplemental Content