2.1. Analyzing the Customer Data Set 1. Import the customers data set into Python with pandas. The customer data set is provided in ILIAS as an Excel file. Use the read_excel function. 2. Cluster the dataset using K-Means clustering. Experiment with different K values. Which values do make sense? What does the clustering tell you concerning your product portfolio? What does the clustering tell you concerning your marketing efforts in different regions? 3. Cluster the data set using Agglomerative Hierarchical Clustering (Using the dendrogram and linkage functions from scipy). What does the dendrogram tell you concerning your customer groups? 4. Flatten the hierarchical clustering so that you get 3 or 4 customer groups. Name these groups with appropriate labels,,,,,,,, 2.3. Clustering the Iris Data Set 1. Cluster the Iris data set (from Exercise 1) using different algorithms and parameter settings. 2. Does it make sense to normalize the data before applying the algorithms? 3. Try to choose an algorithm and parameter setting that reproduces the original division into the three different species ..... Hint :datasets is iris general