Principal Component, Unsupervised Learning, Dimensionality Reduction, Interview Questions, Machine Learning.
1. Step 2. Calculate the covariance matrix of the standardized data. This matrix shows how each variable is related to every other variable in the dataset. Step 3. Calculate the eigenvectors and eigenvalues of the covariance matrix. The eigenvectors represent the directions in which the data varies