Georgia Tech Intro to Analytics Modeling(ISYE6501) HW2. Graded A+

Georgia Tech Intro to Analytics Modeling(ISYE6501) HW2. Graded A+ Document Content and Description Below Intro to Analytics Modeling(ISYE6501) HW2 Question 4.1 Describe a situation or problem from your job, everyday life, current events, etc., for which a clustering model would be appropriate. List so me (up to 5) predictors that you might use. Answer: In my previous job at consulting, we were trying to help our client to find out where they should be opening language school franchise. Some predictors could be: 1) distance from a community college , 2) distance from a freeway, 3) number of parking lots, 4) number of public transportations, 5) average traffic time, and etc. Question 4.2 The iris data set contains 150 data points, each with four predictor variables and one categorical response. The predictors are the width and length of the sepal and petal of flowers and the response is the type of flower. The data is available from the R library datasets and can be accessed with iris once the library is loaded. It is also available at the UCI Machine Learning Repository (