Isye 6501 homework 1 - Study guides, Class notes & Summaries

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 ISYE 6501: Introduction to Analytics Modeling Professor: Dr. Joel Sokol Homework 3. 100% pass rate. Document Content and Description Below ISYE 6501: Introduction to Analytics Modeling Professor: Dr. Joel Sokol Homework 3 31 January 2018Overview This week’s lesson involves data preparation, including outlier identification, handlin g outliers, and an introduction to change detection. Data preparation involves inspecting data visually for outliers and using a statistical test, Gr...

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...

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 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...

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 WEEK #14 Question 19.1, Questions with accurate solutions, Graded A+ Document Content and Description Below 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 ...

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...

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! ...