Customer segmentation with k-means: The second step is to divide the customer list into tiered groups using clustering using K-means and discuss the profile of each found cluster (in terms of the properties that describe the properties of the customers of each cluster). The report should illustrate the adopted clustering methodology and the cluster interpretation. In particular, it is necessary to discuss the identification of the best value of k. ' Build of K-Means Model in Python [5 Marks] ' Correct Justification of K value [5 Marks] ' Testing of KeMeans Model in Python [5 Marks]