Python Use students Analysis dataset: 1. Aggregate the students data set by course and calculate the average mark and the average number of attended classes. * Your not allowed to use groupby method...

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Extracted text: Python Use students Analysis dataset: 1. Aggregate the students data set by course and calculate the average mark and the average number of attended classes. * Your not allowed to use groupby method in pandas for this only this question 2. Cluster the data set using the K-Means algorithm. Does one attribute dominate the clustering? What can you do about this? Assign suitable labels to your clusters. 3. Cluster the data set using Agglomerative Hierarchical Clustering. Experiment with different setting for calculating the cluster similarity. What is a good setting? 4. What does the dendrogram tell you about the distances between the different groups of students?