Book Image

Machine Learning with Qlik Sense

By : Hannu Ranta
Book Image

Machine Learning with Qlik Sense

By: Hannu Ranta

Overview of this book

The ability to forecast future trends through data prediction, coupled with the integration of ML and AI, has become indispensable to global enterprises. Qlik, with its extensive machine learning capabilities, stands out as a leading analytics platform enabling businesses to achieve exhaustive comprehension of their data. This book helps you maximize these capabilities by using hands-on illustrations to improve your ability to make data-driven decisions. You’ll begin by cultivating an understanding of machine learning concepts and algorithms, and build a foundation that paves the way for subsequent chapters. The book then helps you navigate through the process of framing machine learning challenges and validating model performance. Through the lens of Qlik Sense, you'll explore data preprocessing and analysis techniques, as well as find out how to translate these techniques into pragmatic machine learning solutions. The concluding chapters will help you get to grips with advanced data visualization methods to facilitate a clearer presentation of findings, complemented by an array of real-world instances to bolster your skillset. By the end of this book, you’ll have mastered the art of machine learning using Qlik tools and be able to take your data analytics journey to new heights.
Table of Contents (17 chapters)
Part 1:Concepts of Machine Learning
Part 2: Machine learning algorithms and models with Qlik
Part 3: Case studies and best practices

Advanced Analytics Integration with R and Python

Advanced Analytics Integration is a feature that allows users to perform advanced data analysis and predictive modeling tasks within the Qlik Sense environment. With Advanced Analytics Integration, users can use popular statistical analysis and machine learning tools, such as R and Python, to build predictive models, perform data mining tasks, and gain insights from their data.

Data fetched from third-party systems using the Advanced Analytics connection is combined with data handled by the Qlik Associative Engine.

The workflow for Advanced Analytics Integration is illustrated in the following diagram:

Figure 5.1: Advanced Analytics Integration workflow

Figure 5.1: Advanced Analytics Integration workflow

Next, we will take a step-by-step look into the installation of R and Python integrations.

Installing Advanced Analytics Integration with R

In this section, we will install R with Advanced Analytics Integration in a Qlik Sense client-managed environment...