Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
the data for the above dataset. The Principal Component Analysis extends the same principle to any number of dimensions. The number of principal components we can achieve for a particular dataset will be equal to the number of features. In order to identify the optimum number of Principal