List of Listings

Chapter 2. Extracting structure from data: clustering and transforming your data

Listing 2.1. Interrogating the Iris dataset in scikit-learn (interactive shell)

Listing 2.2. Interrogating the Iris dataset in scikit-learn (interactive shell, continued)

Listing 2.3. K-means pseudo-code: expectation maximization

Listing 2.4. The k-means algorithm in action

Listing 2.5. Visualizing the output of k-means

Listing 2.6. Clustering the Iris dataset using a Gaussian mixture model

Listing 2.7. Principal component analysis of the Iris dataset

Chapter 3. Recommending relevant content

Listing 3.1. Calculating the similarity of users based on their ratings of movies

Listing 3.2. Calculating the similarity between two users

Listing 3.3. User-based ...

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