# Eigenvectors and eigenvalues in machine learning

As a data scientist, you are dealing a lot with linear algebra and in particular the multiplication of matrices. Important properties of a matrix are its eigenvalues and corresponding eigenvectors.
So let’s explore those a bit to get a better intuition of what they tell you about the transformation.
We will just need numpy and a plotting library and create a set of points that make up a rectangle (5 points, so they are visually connected in the plot):

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