Week 2 Discussion

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School

Meru University College of Science and Technology (MUCST) *

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Course

MANAGERIAL

Subject

Statistics

Date

Nov 24, 2024

Type

docx

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Uploaded by kipketervictor40

Week 2 Discussion Week 2 Discussion After completing the reading this week, select two questions from each chapter to answer. Be sure to follow the requirements below: Chapter 2: 1. What is an attribute and note the importance? 2. What are the different types of attributes? 3. What is the difference between discrete and continuous data? 4. Why is data quality important? 5. What occurs in data preprocessing? 6. In section 2.4, review the measures of similarity and dissimilarity, select one topic and note the key factors. Chapter 3: 1. Note the basic concepts in data classification. 2. Discuss the general framework for classification. 3. What is a decision tree and decision tree modifier? Note the importance. 4. What is a hyper-parameter? 5. Note the pitfalls of model selection and evaluation. Requirements:  Students must not copy and post from sources. When referencing sources, students must rephrase all work from author’s and include in-text citations and references in APA format.  Students must post their initial post by Thursday evening at 11:59 pm ET and have two total days of engagement (the first day of engagement must answer the initial post and then at least one more additional day of engagement with peers). All posts must be answered by Sunday at 11:59 pm ET.  The initial discussion board posts must be from 100-150 words.  Peer responses must be 50-100 words.  The content must also not be from the textbook.  Peer responses must be substantive in nature.  Build on something your classmate said.  Explain why and how you see things differently.  Ask a probing or clarifying question.  Share an insight from having read your classmate's posting.  Offer and support an opinion.  Expand on your classmate's posting.  Peer responses that are “a good job” or “I agree” do not count as substantive post.

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