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

Creating a data model with the data manager

A good data model is important because it forms the foundation of effective data analysis. A data model is a representation of the structure and relationships within a dataset, and it defines the rules for how data is stored, accessed, and used.

Qlik’s data manager is a data preparation and management tool that is part of the Qlik Sense platform. It provides a user-friendly interface for designing and building data models, as well as cleaning, transforming, and integrating data from a variety of sources.

Qlik’s data manager provides a range of features to support data preparation and management, including the following:

  • Data profiling: Qlik’s data manager provides tools that help users understand their data, including data profiling features, which allow users to identify data quality issues, such as missing values, duplicates, and outliers.
  • Data transformation: Qlik’s data manager provides a...