Isye 6501 homework 2 - Study guides, Class notes & Summaries

Georgia tech ISYE 6501: Introduction to Analytics Modeling Professor: Dr. Joel Sokol Homework 2. 100% Accurate Document Content and Description Below ISYE 6501: Introduction to Analytics Modeling Professor: Dr. Joel Sokol Homework 2 24 January 2018 This study source was downloaded by from CourseH on 05-13-2022 05:33:43 GM T -05:00

Intro Analytics Modeling - ISYE-6501 Homework 10, Questions with accurate answers. Document Content and Description Below Intro Analytics Modeling - ISYE-6501 Homework 10 Question 14.1 The breast cancer data set . 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 4. (Optional) Compare the results and quality of classification models (e.g...

Georgia tech ISYE 6501 OAN - Homework Week 4, Questions and answers, Graded A+, 2022/2023 Document Content and Description Below ISYE 6501 OAN - Homework Week 4 Contents 1 Question 7.1 1 2 Question 7.2 2 2.1 Set up . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Load and examine the data for this assignment . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.3 Convert temps data to vector . . . . . . . . . . . . . . . . . . . . . . . ...

ISYE 6501 9/5/2019 Homework 2, Georgia Tech, Graded A+ Document Content and Description Below ISYE 6501 9/5/2019 Homework 2 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 classifi er: (a) using cross-validation (do this for the k-nearest-neighbors model; SVM is optional); Answer: To approach cross-validation for the KNN model, I attempted to leverage the kknn’s built-in cross-validation function: . This fu...

ISYE 6501- Homework 1 Michael Chapman August 23, 2018, Georgia Tech, Questions with accurate answers Document Content and Description Below ISYE 6501- Homework 1 Michael Chapman August 23, 2018 Question 2.1 In my current job, I am responsible for understanding my company’s customer experience feedback when processing an insurance c laim on their mobile device. This feedback is typically in the form of a survey. The main metric we use to gauge customer satisfaction is Net Promoter Score (NPS)...

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, and why? Solution 7.1 Exponential smoothing would be appropriate to be used in forecasting USA Gross domestic product (GDP). The Gross domestic Product (GDP) is the market value of all final goods...

Georgia Tech Est ISYE 6501 Lecture Transcripts, Comprehensive masterpiece. Document Content and Description Below Est ISYE 6501 Lecture Transcripts About This Document This document was originally created in the summer of 2017 and is maintained collaboratively through the efforts of the students of edX GTx ISY E 6501 using transcripts and screenshots from the video lectures. You are strongly encouraged to improve the formatting, layout, add or adjust images, bold key words, and even condense c...

Georgia Tech ISYE 6501 – Intro Analytics Modeling Due Date: 1/22/20 Homework 2. 100% Proven pass rate. Document Content and Description Below ISYE 6501 – Intro Analytics Modeling Due Date: 1/22/20 Homework 2 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 c ross-validation (do this for the k-nearest-neighbors model; SVM is optional); and Code for 3.1a is in the file named "3_1a_final.R". For the k-nearest-neighb...

Week 6 Homework, Questions with accurate answers, Graded A+ Document Content and Description Below Week 6 Homework Question 9.1 Using the same crime data set as in Question 8.2, apply Principal Component Analysis and then create a regression model using the first few principal components. Specif y your new model in terms of the original variables (not the principal components), and compare its quality to that of your solution to Question 8.2. You can use the R function prcomp for PCA. Note tha...

ISYE 6501 Homework 12: Power Company Case. All Questions and answers, Graded A+, 2022 update. Document Content and Description Below ISYE 6501 Homework 12: Power Company Case In approaching the power company case study, I find it best to break the problem into three more discrete and manageable parts. For each of these parts we c an then better define the specific data needs, model usage, and results for each individual part. Then, it is possible bring these individually addressed issues toget...