Part 2: Machine learning algorithms and models with Qlik

This section will cover the actual creation of machine learning project using Qlik tools with hands-on examples. The section starts with the setup process required to utilize the tools effectively. Techniques required to preprocess the data with Qlik Sense are covered in Chapter 6 followed by best practices for monitoring the models and handling the deployments. Towards the end of the section, we will cover the functionality of Qlik AutoML using concrete examples. At the end of this section, we will look at the important aspect of visualizing the results.

This section has the following chapters:

• Chapter 5: Setting Up the Environments
• Chapter 6: Preprocessing and Exploring Data with Qlik Sense
• Chapter 7: Deploying and Monitoring Machine Learning Models
• Chapter 8: Utilising Qlik AutoML
• Chapter 9: Advanced Data Visualization Techniques for Machine Learning Solutions

...