INTRODUCTION In this, we dive into the depths of Principal Component Analysis (PCA), a powerful mathematical technique for dimensionality reduction and data visualization. In this, we demystify the underlying mathematical concepts and walk you through the step-by-step process of implementing PCA. From eigenvectors to eigenvalues, covariance matrices to singular value decomposition…