What This Document Is
This document contains sample solutions for homework assignments from ISYE 6501, Intro Analytics Modeling at Georgia Tech, specifically for Week Two. It’s designed to supplement the course material and provide students with different approaches to problem-solving.
Why This Document Matters
This resource is valuable for students enrolled in ISYE 6501 who are seeking to check their understanding of the homework problems and explore alternative solution methods. It’s most useful *after* attempting the assignments independently, as a way to compare approaches and identify areas for improvement. It exists to support the course’s primary goal: developing analytics skills through practice.
Common Limitations or Challenges
This document provides *sample* solutions, meaning there may be other valid approaches not covered here. It’s not a substitute for understanding the underlying concepts or completing the assignments yourself. Relying solely on these solutions will hinder your learning process. It does not offer a comprehensive review of all course material.
What This Document Provides
The full document includes:
* Detailed solutions to homework questions, including Question 4.1 (clustering scenario) and Question 4.2 (iris dataset clustering using R).
* Multiple approaches to solving problems, with optional extensions for further learning.
* R code examples for clustering, demonstrating the use of `kmeans` and `ggplot2`.
* Tables comparing clustering results with and without data scaling, and using different predictor variables.
* Discussion of the impact of k-value selection on clustering outcomes.
This preview does *not* include the complete R code, detailed calculations, or all the tables and results presented in the full solutions. It is intended to give you a sense of the document’s scope and content.