Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
Eigenvalues, Eigenvectors and how they play a critical role in it. We then understood the complete working of the unsupervised learning dimension reduction technique which is the Principal Component Analysis with an example. In case you still find the concept of PCA difficult to understand, I would