Data Science and Big Data Analytics

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Please make sure to read Chapter 6 of your textbook.

Please provide comprehensive responses to the following:

(a) In the use of a categorical variable with n possible values, explain the following:
    1. Why only n – 1 binary variables are necessary
    2. Why using n variables would be problematic
 
(b) Describe how logistic regression can be used as a classifier.

(c) Discuss how the ROC curve can be used to determine an appropriate threshold value for a classifier

(d) If the probability of an event occurring is 0.4, then

    1. What is the odds ratio?
    2. What is the log odds ratio?

Requirements: 

- Typed in a word document.

- Please write in APA Style and include at least Five (5) reputable sources.

- The complete paper should be between 800-to-1000-words.

- No plagiarism 

  • Posted: 7 months ago
  • Due: 
  • Budget: $5
  • Rated 1 times

    Data Science

    I have attached the text book to this questions, please make sure to read Chapter 6 of your textbook.

    Please provide comprehensive responses to the following:

    (a) In the use of a categorical …

  • Rated 1 times

    Assignment 4

    For this assignment, please provide responses to the following items:

    (a) What is the value of performing text analysis? How do companies benefit from this exercise?

    (b) What are three …

  • Rated 1 times

    Assignment 3

    For this assignment, please provide responses to the following items:

    (a) Provide a comprehensive response describing naive Bayes?

    (b) Explain how naive Bayes is used to filter spam. Please …

  • Week 5 - Discussion Assignment

    Discussion Requirements: (Points = 20)

    Participants must create a thread in order to view other threads in this forum.

    Read: Chapter 5 - Advanced Analytical Theory …

  • Rated 1 times

    Assignment - 1

    Read Chapter 2 - Data Analytics Lifecycle and answer the following questions.

    1. In which phase would the team expect to invest most of the project time? Why? Where would the team expect to …

  • Need a power point presentation with all algorithms in the textbook.


    Linear Regression

    Logistic Regression

    Decision Tree

    SVM

    Naive Bayes

    kNN

    K-Means

    Random Forest

    SVM

    Text Analysis / Sentiment …

  • Your will select a big data analytics project that is introduced to an organization of your choice … please address the following items:

    1. Provide a background of the company chosen.

  • Compare and contrast five clustering algorithms on your own. Provide real-world examples to explain any one of the clustering algorithm. In other words, how is an algorithm beneficial for a …

  • Not rated

    Assg

    Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course(Data Science & Big Data Analysis) have been applied, or could be …

  • please provide responses to the following items:

    (a) What is the value of performing text analysis? How do companies benefit from this exercise?

    (b) What are three challenges to …