Data Mining

Question 11 Not yet answered Marked out of 1.00 Not flaggedFlag question Question text Assume that you are the data scientist for a new email provider called fastmail.com. Fastmail intends to differentiate their email service from other email providers by providing excellent spam mail detection and elimination. You have been tasked with developing a machine learning solution that can detect whether an email message received into a users mail inbox is a spam mail. Which of the following techniques are you most likely to use?

Select one: a. Linear Regression b. A Classifier based upon Bayes theorem c. Hierarchical clustering d. Principle components analysis Question 12 Not yet answered Marked out of 1.00 Not flaggedFlag question Question text Assuming a data set with 1000 training outcomes of which 332 are positive, what is the Entropy? Round your answer to the nearest thousandths place.

Answer: Question 13 Not yet answered Marked out of 1.00 Not flaggedFlag question Question text Assume that you are the data scientist for ACME sporting goods and you have been asked to develop a predictive model that will help the company determine which products to produce and in what quantities for the upcoming sports season. You have historical data from many years with data that includes all of the factors that impacted sales of different types of products. Which of the following techniques are you most likely to use?