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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

Creating a data model with the data manager

A good data model is important because it forms the foundation of effective data analysis. A data model is a representation of the structure and relationships within a dataset, and it defines the rules for how data is stored, accessed, and used.

Qlik’s data manager is a data preparation and management tool that is part of the Qlik Sense platform. It provides a user-friendly interface for designing and building data models, as well as cleaning, transforming, and integrating data from a variety of sources.

Qlik’s data manager provides a range of features to support data preparation and management, including the following:

  • Data profiling: Qlik’s data manager provides tools that help users understand their data, including data profiling features, which allow users to identify data quality issues, such as missing values, duplicates, and outliers.
  • Data transformation: Qlik’s data manager provides a...
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