Statistics, Covariance Matrix, Eigenvectors, Pca Analysis, Machine Learning.
Understanding these concepts is crucial for tasks like principal component analysis (PCA) and linear transformations. In this blog, we’ll delve into what covariance and covariance matrices are, how to calculate eigenvalues and eigenvectors, and their role in linear transformation and machine