Statistics, Covariance Matrix, Eigenvectors, Pca Analysis, Machine Learning.
the directions of maximum variance in the data. PCA helps reduce the dimensionality of data while preserving as much variance as possible. It’s useful in tasks like image compression, face recognition, and feature selection in machine learning. Conclusion Covariance, covariance matrices,