Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
Eigenvectors are where the magic of PCA begins to unfold. In the context of PCA, each eigenvector represents a principal component. Imagine your multidimensional data as a cloud of points. Eigenvectors are directions through this cloud. For example, in a 3D space, an eigenvector could be a line