We are now in week 5 of the class. At the end of this week, you are going to submit a memo to your instructor stating the topic of your proposed white paper and the audience for whom it is intended.In this discussion topic, please share your topic and audience with your classmates. Please write one or two paragraphs in which you give as much detail as you can about the “previous approaches” to the situation and the “new findings” you will describe in the white paper.You might review the sample student white paper, “Cloud Considerations,” as well as the second sample student white paper, “ITSM.” You also might review the Purdue OWL lecture on white papers that we saw in class earlier.

Counterfeiting banknotes has been a problem since the introduction of color photocopiers and computer image scanners. The banking industry has suffered from counterfeits due to inflation and reduction in the value of real money. Assume that you are a data mining expert who works in the banking industry.The dataset called banknotes.csv Download banknotes.csv contains 5 variables (or columns) and the description-bank.docx Download description-bank.docxcontains a description of the dataset. The end goal is to build an appropriate model (or tool) to successfully predict forgery. Using SAS Studio, perform the following tasks:Explore the dataset by providing summary statistics and graphical summaries of all the variables.Explain some of the key aspects of data in part 1.Examine if the dataset has any anomalies. Describe the method(s) you used as well as the results.Examine if there are any association among the variables. Describe the approaches as well as the results.Using one of the clustering techniques, analyze all the variables. Explain the results.Using one of the classification techniques from the course, build the model that predicts forgery. Explain why you think the model you’ve chosen is most appropriate for this dataset.Evaluate the model. How well does the model fit? Can you improve the model? Explain.ATTACHED:1. Dataset2. Documentation for dataset3. What I currently have completed