ISYE 6501 Introduction to Analytics - Georgia Institute Of Technology Complete Course

Week 2 Homework - Fall 2020 Ques%on 3.1 Using the same data set (credit_card_ or credit_card_) as in Ques%on 2.2, use the ksvm or kknn func%on to find a good classifier: I started by installing and running the “kknn” package. I then loaded the credit card data in to the “cd_info” variabl...

ement is a more accessible alternative to drag & drop reordering. Pres INSTRUCTIONS FOR QUESTIONS 1-5 For each of the following five questions, select the probability distribution that could best be used to model the described scenario. Each distribution might be used, zero, one, or more than on...

Question 3.1 Using the same data set (credit_card_ or credit_card_) 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 optional); Cross Validation is a model evaluation method to see how well...

ISYE-6501-OAN/O01/MSA Quizzes ISYE 6501 Midterm 2 ISYE 6501 Midterm 2 Due Apr 12 at 2am Points 100.02 Ques!ons 48 Available un!l Apr 12 at 2am Time Limit 90 Minutes Instruc!ons This quiz was locked Apr 12 at 2am. A"empt History A"empt Time Score LATEST A"empt 1 40 minutes 86.22 out of 100...

Question 18.1 Describe analytics models and data that could be used to make good recommendations to the power company. Here are some questions to consider: • The bottom-line question is which shutoffs should be done each month, given the capacity constraints. One consideration is that some of...

ISYE 6501 Midterm 1 : Intro Analytics Modeling - ISYE-6501-OAN/O01/QCH/ASY ISYE 6501 Midterm 1 Due Mar 7 at 2am Points 100 Questions 45 Available Feb 24 at 2am - Mar 7 at 2am 11 days Time Limit 95 Minutes Instructions onorlock Chrome Extension s exam requires Google Chrome and the Honorlock C...

ISYE 6501 19SP1 HW 4 solution Question 7.1 Describe a situation or problem from your job, everyday life, current events, etc., for which exponential smoothing would be appropriate. What data would you need? Would you expect the value of  (the first smoothing parameter) to be closer to 0 or 1,...

Question 14.1 The breast cancer data set from values. 1. Use the mean/mode imputation method to impute values for the missing data. 2. Use regression to impute values for the missing data. 3. Use regression with perturbation to impute values for the missing data. Below shows snippets from t...

Question 5.1 Using crime data from the file ( description at outliers in the last column (number of crimes per 100,000 people). Use the function in the outliers package in R.