Example DS applications: Identifying zip code from handwritten digits Detecting communities in social networks Predicting the traffic volume at rush hour Jake Q. Simple 12.3 Any Street 2.000 bis 50.000 1.500 bis 2.000 1.000 bis 1250 800 bis 1.000 500 bis 800 400 bis 800 200 bis 400 Obis 200 Ang City. 14. 12315 Detecting fraudulent credit card transactions Determining the location of distribution centers based on customers' residence ACTIVITY 2 TASK 1 Categorize the ML examples into Regression, Classification, or Clustering: Regression 09 Regression AL Classification Clustering Johe Q. semple as Anyar Any dit? A BALES O Classification gelustering Regression Regression Er Classification Clustering O Classification 2.000 50.000 100 1350 0 000 00 Clustering 30 Regression O Classification b-Clustering