December 2017
Beginner to intermediate
238 pages
5h 35m
English
Overview
Learn how to leverage IBM SPSS Modeler for your data mining and predictive analytics needs in this comprehensive guide. With step-by-step instructions, you'll acquire the skills to import, clean, analyze, and model your data using this robust platform. By the end, you'll be equipped to uncover patterns and trends, enabling data-driven decision-making confidently.
What this Book will help me do
- Understand the fundamentals of data mining and the visual programming interface of IBM SPSS Modeler.
- Prepare, clean, and preprocess data effectively for analysis and modeling.
- Build robust predictive models such as decision trees using best practices.
- Evaluate the performance of your analytical models to ensure accuracy and reliability.
- Export resulting analyses to apply insights to real-world data projects.
Author(s)
Keith McCormick and Jesus Salcedo are accomplished professionals in data analytics and statistical modeling. With extensive experience in consulting and teaching, they have guided many in mastering IBM SPSS Modeler through both hands-on workshops and written material. Their approachable teaching style and commitment to clarity ensure accessibility for learners.
Who is it for?
This book is designed for beginner users of IBM SPSS Modeler who wish to gain practical and actionable skills in data analytics. If you're a data enthusiast looking to explore predictive analytics or a professional eager to discover the insights hidden in your organizational data, this book is for you. A basic understanding of data mining concepts is advantageous but not required. This resource will set any novice on the path toward expert-level comprehension and application.
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