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

Product type Paperback

Published in Oct 2023

Publisher Packt

ISBN-13 9781805126157

Length 242 pages

Edition 1st Edition

Tools

Qlik Sense

Concepts

Data Engineering

Author (1):

Hannu Ranta

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Table of Contents (17) Chapters

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

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Creating and monitoring a machine learning model with Qlik AutoML

In this section, we will create an actual implementation using Qlik AutoML. We will utilize the famous Iris dataset that we have already used in this book. The data preparation part for Iris dataset is already done, so we can jump into the model training and experiment part directly.

Note

You can find the datasets used in this example in the GitHub repository for this book.

Note

Only users with Professional entitlement can create experiments.This is a limitation at the license level.

Let’s assume that we have already uploaded the iris dataset into our cloud tenant. Now, we will start to define a business question. This question defines what we would like to achieve from our machine learning model.

As we know, the Iris dataset consists of measurements of four features of three different species of Iris flowers. These features are as follows:

Sepal length: The length of the sepal, which...

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

Table of Contents (17) Chapters

Creating and monitoring a machine learning model with Qlik AutoML

Authors (1)

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

Table of Contents (17) Chapters

Creating and monitoring a machine learning model with Qlik AutoML

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Authors (1)

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