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

Introduction to Qlik script

Qlik script is a scripting language used in Qlik Sense and QlikView for loading and transforming data from various sources into Qlik’s associative data model. It is a powerful and flexible scripting language that allows users to extract, transform, and load data from various sources, such as databases, spreadsheets, and flat files, and then prepare that data for analysis.

Qlik script is like SQL in terms of syntax and structure, but it includes additional features and functions that make it more powerful and flexible. With Qlik script, users can perform complex data transformations, create calculated fields, generate variables, and apply filters to data. The script can be used to define data models, specify data sources, and load data from them, and define data transformations. The data manager that we used in the previous section generates Qlik script in the background, and all operations done using the data manager can be done using scripting...