Isye 6501 week - Study guides, Class notes & Summaries
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Week 1 Homework ISYE 6501 5/21/2020, Georgia Tech, Questions and answers, Rated A+
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Week 1 Homework ISYE 6501 5/21/2020, Georgia Tech, Questions and answers, Rated A+ 
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Question 2.1 Describe a situation or problem from your job, everyday life, current events, etc., for which a classification model would be appropriate. List some (up to 5) predictors that you might use.
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ISYA 6501 Week 3 Homework Question 5.1 Hide, 100% Proven pass rate, 2022/2023
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ISYA 6501 Week 3 Homework Question 5.1 Hide, 100% Proven pass rate, 2022/2023 
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ISYA 6501 Week 3 Homework Question 5.1 Hide # clear env rm(list = ls()) # import packages library(outliers) (12) uscrime <- ("/Users/wstamatis/OMSA/ISYE 6501/Week 3 Homework/ uscrim ", stringsAsFactors = FALSE, header = TRUE) temps <- ("/Users/wstamatis/OMSA/ISYE 6501/Week 3 Homework/ t", stringsAsFactors = FALSE, header = TRUE) # check for outliers using (uscrime$Cri...
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# Week 1 Introduction To Analytics Modeling - GTX ISYE 6501. 100% proven pass rate,
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# Week 1 Introduction To Analytics Modeling - GTX ISYE 6501. 100% proven pass rate, 
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# 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? = predi ctive what actions are best? = prescriptive how do we create value with data? when can analytics answer these questions? Modeling: taking a real life situation and expressing it i...
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ISYE-6501 – HOMEWORK WEEK #14 Question 19.1, Questions with accurate solutions, Graded A+
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ISYE-6501 – HOMEWORK WEEK #14 Question 19.1, Questions with accurate solutions, Graded A+ 
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ISYE-6501 – HOMEWORK WEEK #14 Question 19.1 Describe analytics models and data that could be used to make good recommendations to the retailer. How much shelf space should the company have, to ma ximize their sales or their profit? Of course, there are some restrictions – for each product type, the retailer imposed a minimum amount of shelf space required, and ...
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ISYE 6501 - Week 1: Introduction and Classification Exam | Questions & 100% Correct Answers (Verified) | Latest Update | Grade A+
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Descriptive Question 
: Questions that ask for explanations of what happened 
Predictive Questions 
: Questions that ask what's going to happen in the future 
Prescriptive Questions 
: Questions that ask what action or actions would be best 
General Questions 
: Generic questions on data analytics 
Modeling 
: A mathematical expression of a real-life situation 
2 | P a g e 
Classification 
: Putting things into categories 
Classifiers 
: Separators 
Data Point 
: A single observation of inform...
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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+ 
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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...
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Week 6 Homework, Questions with accurate answers, Graded A+
- Exam (elaborations) • 11 pages • 2023
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Week 6 Homework, Questions with accurate answers, Graded A+ 
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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...
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GEORGIA Tech, ISYE Full course, Graded A+, 2022 update
- Exam (elaborations) • 85 pages • 2023
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GEORGIA Tech, ISYE Full course, Graded A+, 2022 update 
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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 AutoRe...
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ISYE 6501 WEEK 1 HOMEWORK – SAMPLE SOLUTIONS
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ISYE 6501 WEEK 1 HOMEWORK – SAMPLE SOLUTIONS 
 
 
 
IMPORTANT NOTE 
 
These homework solutions show multiple approaches and some optional extensions for most of the questions in the assignment. You don’t need to submit all this in your assignments; they’re included here just to help you learn more – because remember, the main goal of the homework assignments, and of the entire course, is to help you learn as much as you can, and develop your analytics skills as much as possible! 
 
 
 
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ISYE 6501 - Week 1_ Introduction and Classification.
- Exam (elaborations) • 2 pages • 2024
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ISYE 6501 - Week 1_ Introduction and Classification.
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