Decomposing your matrix

Now that you have prepped your data by centering it and filling in the remaining empty values with 0, you can get around to finding your data's factors. In this exercise, you will break the user_ratings_centered data you generated in the last exercise into 3 factors: U, sigma, and Vt.

U is a matrix with a row for each user
Vt has a column for each movie
sigma is an array of weights that you will need to convert to a diagonal matrix

The user_ratings_centered that you created in the last lesson has been loaded for you.

This exercise is part of the course

Building Recommendation Engines in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import the required libraries 
from scipy.sparse.linalg import ____
import numpy as np

# Decompose the matrix
U, sigma, Vt = ____(user_ratings_centered)

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