Isye 6501 Study guides, Class notes & Summaries
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ISYE 6501 Homework Week 1 2023-2024 complete solution Georgia Institute Of Technology
- Exam (elaborations) • 3 pages • 2023
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ISYE 6501 Homework Week complete solution Georgia Institute Of Technology
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GEORGIA INSTITUTE OF TECHNOLOGY ISYE 6501 FULL COURSE NOTES
- Class notes • 102 pages • 2023
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Week 1 
 
Why Analytics?	6 
Data Vocabulary	7 
Classification	8 
Support Vector Machines	11 
Scaling and Standardization	13 
k-Nearest Neighbor (KNN)	13 
Week 2 
Model Validation	16 
Validation and Test Sets	17 
Splitting the Data	18 
Cross-Validation	20 
Clustering	21 
Supervised vs. Unsupervised Learning	22 
Week 3 
Data Preparation	25 
Introduction to Outliers	25 
Change Detection	27 
Week 4 
Time Series Data	31 
AutoRegressive Integrated Moving Average (ARIMA)	34 
Generalized Autoregressive...
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ISYE 6501-HOMEWORK 3 NEW SOLUTION 2023 GEORGIA INSTITUTE OF TECHNOLOGY
- Exam (elaborations) • 8 pages • 2023
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ISYE 6501-HOMEWORK 3 NEW SOLUTION 2023 GEORGIA INSTITUTE OF TECHNOLOGY
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ISYE 6501 Lecture Notes Midterm 1 Analytic models (Georgia Institute of Technology)
- Exam (elaborations) • 41 pages • 2022
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ISYE 6501 Lecture Notes Midterm 1 Analytic models (Georgia Institute of Technology) 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
# Week 1 Introduction To Analytics Modeling - GTX ISYE 6501 
 
- Introduction to Analytics Modeling 
 
answer important types of questions: 
what happened? = descriptive 
what is going to happen? = predictive what actions are best? = prescriptive how do we create value with data? 
 
when can analytics answer these que...
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ISYE 6501-HOMEWORK 9 2023 NEW SOLUTION GEORGIA INSTITUTE OF TECHNOLOGY
- Exam (elaborations) • 4 pages • 2023
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ISYE 6501-HOMEWORK 9 2023 NEW SOLUTION GEORGIA INSTITUTE OF TECHNOLOGY
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ISyE 6501 – Homework Essay 2023-2024
- Exam (elaborations) • 4 pages • 2023
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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 ...
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ISYE 6501 Lecture Notes ISYE 6501 Midterm 2 with complete solution
- Class notes • 16 pages • 2022
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- Important to limit the number of factors in the model for 2 reasons: 
o Overfitting – When the number of factors is close to or larger than the number of data 
points the model might fit too closely to random effects 
o Simplicity – on aggregate simple models are better than complex ones. Using less factors 
means that less data is required and the is a smaller chance of including insignificant 
factors. Interpretability is also crucial. Some factors are even illegal to use such as race 
a...
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ISYE 6501 Course Summary Intro to Analytics Modeling (Georgia Institute of Technology) new review solution 2022-2023 latest update
- Exam (elaborations) • 13 pages • 2022
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ISYE 6501 Course Summary 
Intro to Analytics Modeling (Georgia Institute of Technology) new review solution 2022-2023 latest update
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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...
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