Assuming that data mining techniques are to be used in the following cases, identify whether the task required is supervised or unsupervised learning. (10 points) a. Deciding whether a customer is credit worthy based on demographic and financial data; the customer's credit history is known. b. In an online bookstore, making recommendations to customers based on which products were purchased together in prior transactions. c. Identifying whether a network data packet is dangerous (virus, hacker attack) based on its digital characteristics. The data has labeled whether a packet is dangerous or not. d Identifying customer segments by grouping customers with similar characteristics e. Predicting whether a company will go bankrupt based on financial data; the data contains companies that were bankrupt or healthy. f. Estimating the waiting time in an ER based on data on patient traffic, number of doctorsurses, their credentials, hospital admission policies, etc. The data has previous records of waiting time. g. Predicting house prices based on house features, location, and economic trends etc. with previous records of house prices. h. Netflix recommending movies/shows to customers based on view history of other customers who have similar tastes