Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
and the linear algebra package which is linalg in Python. With the knowledge of the magic wand in hand let’s dive deeper, Principal Component Analysis Introduction Principal Component Analysis is an unsupervised dimension reduction technique that focuses on capturing maximum variation of the data.