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# Eigenvectors and Eigenvalues: Key Insights for Data Science

Eigenvectors and eigenvalues are essential for understanding linear transformations. This article covers their geometric interpretation, mathematical calculation, and importance in machine learning.

Sep 17, 2024 · 9 min read

## Become an ML Scientist

Upskill in Python to become a machine learning scientist.

### What are eigenvectors and eigenvalues?

### How are eigenvectors and eigenvalues used in data science?

### What is the relationship between eigenvalues and eigenvectors in PCA?

### What is the characteristic equation in the context of eigenvalues?

### Can eigenvalues be negative or zero?

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