Georgia Institute Of Technology ISYE 6501 Homework 2 Complete Solutions - Introduction To Analytics Modeling - GTX ISYE 6501

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Question 3.1 Using the same data set...as in Question 2.2, use the ksvm or kknn function to find a good classifier: a) using cross-validation (do this for the k-nearest-neighbors model; SVM is opti ... onal); and b) splitting the data into training, validation, and test data sets (pick either KNN or SVM; the other is optional). 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 some (up to 5) predictors that you might use. Question 4.2 Use the R function kmeans to cluster the points as well as possible. Report the best combination of predictors, your suggested value of k, and how well your best clustering predicts flower type. [Show More]

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FULL COMPLETE COURSE FOR Georgia Institute Of Technology ISYE 6501 HOMEWORK 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, MIDTERM 1, MIDTERM 2 & FINAL EXAM (MULTIPLE VERSIONS) GT Students and Verified

FULL COMPLETE COURSE FOR Georgia Institute Of Technology ISYE 6501 HOMEWORK 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, MIDTERM 1, MIDTERM 2 & FINAL EXAM (MULTIPLE VERSIONS) GT Students and Ver...

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