April 2012
Intermediate to advanced
384 pages
11h 19m
English
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List of Listings
Chapter 2. Classifying with k-Nearest Neighbors
Listing 2.1. k-Nearest Neighbors algorithm
Listing 2.2. Text record to NumPy parsing code
Listing 2.3. Data-normalizing code
Listing 2.4. Classifier testing code for dating site
Chapter 3. Splitting datasets one feature at a time: decision trees
Listing 3.1. Function to calculate the Shannon entropy of a dataset
Listing 3.2. Dataset splitting on a given feature
Listing 3.3. Choosing the best feature to split on
Listing 3.4. Tree-building code
Listing 3.5. Plotting tree nodes with text annotations
Listing 3.6. Identifying the number of leaves in a tree and the depth
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