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

Preprocessing and Exploring Data with Qlik Sense

Data processing and exploration are essential steps in the data analysis process. They involve transforming raw data into meaningful insights, identifying patterns, and gaining a deeper understanding of the data. Qlik Sense is a powerful data analytics tool that allows users to easily process and explore data. With its data cleansing, transformation, and integration capabilities, Qlik Sense makes it easy to prepare data for analysis and produce a good dataset to be used for machine learning models.

This chapter will introduce data preprocessing and exploration with Qlik Sense. We will cover the following main topics:

  • Creating a data model using the data manager
  • Creating a data model and altering data with Qlik script
  • Validating data
  • Utilizing data lineage and data catalogs
  • Exploring data and finding insights using Insight Advisor