Isye 6501 homework 15 - Study guides, Class notes & Summaries
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![ISYE 6501 Homework 15 (ESSAY).](/docpics/6391b4f53e3eb_2164274.jpg)
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ISYE 6501 Homework 15 (ESSAY).
- Essay • 4 pages • 2022
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ISYE 6501 Homework 15 (ESSAY). Question 20.1 
Describe analytics models that could be used to help the company monetize their data: How could the 
company use these data sets to generate value, and what analytics models might they need to do it? 
There are lots of good answers, and I want you to think about two types – at least one of your answers 
should be based on just one data set (the one they’ve collected internally on customer browsing 
patterns on the website), and at least one of yo...
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ISyE 6501 Homework 15
- Essay • 3 pages • 2021
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ISyE 6501 Homework 15 
Question 20.1 
Describe analytics models that could be used to help the company monetize their data: How could the 
company use these data sets to generate value, and what analytics models might they need to do it? 
There are lots of good answers, and I want you to think about two types – at least one of your answers 
should be based on just one data set (the one they’ve collected internally on customer browsing 
patterns on the website), and at least one of your other...
![ISyE 6501 – Homework Essay 2023-2024](/docpics/3260703/64dd37f176ba6_3260703_121_171.jpeg)
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ISyE 6501 – Homework Essay 2023-2024
- Exam (elaborations) • 4 pages • 2023
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STUDYROOM2024
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Describe analytics models that could be used to help the company monetize their data: How could the 
company use these data sets to generate value, and what analytics models might they need to do it? 
There are lots of good answers, and I want you to think about two types – at least one of your answers 
should be based on just one data set (the one they’ve collected internally on customer browsing 
patterns on the website), and at least one of your other answers should be based on combining ...
![Georgia Tech ISYE - 6501 Homework 2 Due Date: Thursday, September 3rd, 2020, Graded A+](/docpics/6447f63713a37_2654388.jpg)
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Georgia Tech ISYE - 6501 Homework 2 Due Date: Thursday, September 3rd, 2020, Graded A+
- Exam (elaborations) • 9 pages • 2023
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Georgia Tech ISYE - 6501 Homework 2 Due Date: Thursday, September 3rd, 2020, Graded A+ 
Document Content and Description Below 
ISYE - 6501 Homework 2 Due Date: Thursday, September 3rd, 2020 Contents 1 ISYE - 6501 Homework 2 2 2 Homework Analysis 2 2.1 Analysis 3.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Analysis 4.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.3 Analysis 4.2 . . . . . . ...
![ISyE 6501 – Homework 15 Essay 2023](/docpics/63db8413582d8_2327763.jpg)
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ISyE 6501 – Homework 15 Essay 2023
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ISyE 6501 – Homework 15 Essay 2023. Using just Data Set #3 (collected by the company using website tracking code) – Classify and profile 
customers to identify their spending potential (how much they would be willing to spend for an item, 
as well as how much they could spend over time) 
Model 1: given the list of products purchased in the past, the price of the product (assuming this 
information is also available), the date of purchase, and the ship-to address, use K-means clustering to 
c...
![Georgia Tech Est ISYE 6501 Lecture Transcripts, Comprehensive masterpiece](/docpics/6447e12a9f21f_2654233.jpg)
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Georgia Tech Est ISYE 6501 Lecture Transcripts, Comprehensive masterpiece
- Exam (elaborations) • 284 pages • 2023
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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...
![ISyE 6501 – Homework 15 Essay 2023](/docpics/63da798b28ef4_2324267.jpg)
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ISyE 6501 – Homework 15 Essay 2023
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ISyE 6501 – Homework 15 Essay 2023. Describe analytics models that could be used to help the company monetize their data: How could the 
company use these data sets to generate value, and what analytics models might they need to do it? 
There are lots of good answers, and I want you to think about two types – at least one of your answers 
should be based on just one data set (the one they’ve collected internally on customer browsing 
patterns on the website), and at least one of your other...
![ISYE 6501 9/5/2019 Homework 2, Georgia Tech, Graded A+ Document Content and Description Below](/docpics/6447f453e1cc1_2654365.jpg)
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ISYE 6501 9/5/2019 Homework 2, Georgia Tech, Graded A+ Document Content and Description Below
- Exam (elaborations) • 7 pages • 2023
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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...
![Georgia tech ISYE 6501 OAN - Homework Week 4, Questions and answers, Graded A+, 2022/2023](/docpics/6447f767402c5_2654402.jpg)
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Georgia tech ISYE 6501 OAN - Homework Week 4, Questions and answers, Graded A+, 2022/2023
- Exam (elaborations) • 19 pages • 2023
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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 . . . . . . . . . . . . . . . . . . . . . . . ...
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