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Machine Learning with Qlik Sense

You're reading from   Machine Learning with Qlik Sense Utilize different machine learning models in practical use cases by leveraging Qlik Sense

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781805126157
Length 242 pages
Edition 1st Edition
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Author (1):
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Hannu Ranta Hannu Ranta
Author Profile Icon Hannu Ranta
Hannu Ranta
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Table of Contents (17) Chapters Close

Preface 1. Part 1:Concepts of Machine Learning
2. Chapter 1: Introduction to Machine Learning with Qlik FREE CHAPTER 3. Chapter 2: Machine Learning Algorithms and Models with Qlik 4. Chapter 3: Data Literacy in a Machine Learning Context 5. Chapter 4: Creating a Good Machine Learning Solution with the Qlik Platform 6. Part 2: Machine learning algorithms and models with Qlik
7. Chapter 5: Setting Up the Environments 8. Chapter 6: Preprocessing and Exploring Data with Qlik Sense 9. Chapter 7: Deploying and Monitoring Machine Learning Models 10. Chapter 8: Utilizing Qlik AutoML 11. Chapter 9: Advanced Data Visualization Techniques for Machine Learning Solutions 12. Part 3: Case studies and best practices
13. Chapter 10: Examples and Case Studies 14. Chapter 11: Future Direction 15. Index 16. Other Books You May Enjoy

Customer churn example

In our second example, we will create a binary model to predict customer churn for a bank. We are going to use a dataset that contains the following fields:

  • customer_id: A unique identifier for each customer.
  • credit_score: A numerical representation of a customer’s creditworthiness.
  • country: The country where the customer resides.
  • gender: The gender of the customer.
  • age: The age of the customer.
  • tenure: The duration of the customer’s relationship with the company.
  • balance: The current balance in the customer’s account.
  • products_number: The number of products the customer has brought from the company.
  • credit_card: A binary indicator showing whether the customer holds a credit card with the company.
  • active_member: A binary indicator indicating whether the customer is currently an active member of the company.
  • estimated_salary: An approximate estimation of the customer’s salary.
  • churn...
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