Isye 6501 Study guides, Class notes & Summaries

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ISYE 6501 Homework Week 1 2023-2024 complete solution Georgia Institute Of Technology
  • 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
  • GEORGIA INSTITUTE OF TECHNOLOGY ISYE 6501 FULL COURSE NOTES

  • Class notes • 102 pages • 2023
  • 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
  • ISYE 6501-HOMEWORK 3 NEW SOLUTION 2023 GEORGIA INSTITUTE OF TECHNOLOGY

  • Exam (elaborations) • 8 pages • 2023
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ISYE 6501 Lecture Notes Midterm 1 Analytic models (Georgia Institute of Technology)
  • 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
  • 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
  • ISyE 6501 – Homework Essay 2023-2024

  • Exam (elaborations) • 4 pages • 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 answers should be based on combining ...
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ISYE 6501 Lecture Notes ISYE 6501 Midterm 2 with complete solution
  • 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
  • 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
  • ISyE 6501 – Homework 15 Essay 2023

  • Exam (elaborations) • 4 pages • 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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