Machine Learning, Artificial Intelligence, Pca Analysis, Data Science, Support Vector Machine.
covariance matrix, often crucial in various mathematical and scientific applications. Selection of Principal Components: Sort the eigenvalues in descending order and choose the top k eigenvectors to form the principal components. Data Transformation: Project the data onto the new space formed by