Machine Learning in Action

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

Listing 2.5. Dating site predictor function

Listing 2.6. Handwritten digits testing code

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

Listing 3.7. The plotTree ...