Hello, please if you don’t know answers do not get the work! I don’t want to get answers from the internet if i want i know how to get them ^^. Please answer these 3 question yourself.
Q1) Discuss why a document-term matrix is an example of a data set that has asymmetric discrete or asymmetric continuous features?
Q2) Given matrix M as shown below, compute a) its rank, and b) its eigenpairs (using the determinant approach). Show the steps. Don’t use a python package or online applications for this problem.
M = 1 1 1
1 2 3
1 3 5
Q3) go to this link to see the python code ( https://www.kaggle.com/morecoding/scalingpca-demo/ ) and download the file Wine.csv and do this please :
demonstrates the importance of scaling attributes for some applications. Can you add python statements to project the original data (NOT the standardized one) onto the eigenvectors derived from the standardized data? Graph the transformed values for two components. Show the python statements you add and the plot you get. ( Upload the whole code for python and the plots you got please)
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