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The Unsupervised Learning Workshop

You're reading from   The Unsupervised Learning Workshop Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800200708
Length 550 pages
Edition 1st Edition
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Authors (3):
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Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Christopher Kruger Christopher Kruger
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Christopher Kruger
Aaron Jones Aaron Jones
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Aaron Jones
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Toc

Table of Contents (11) Chapters Close

Preface
1. Introduction to Clustering 2. Hierarchical Clustering FREE CHAPTER 3. Neighborhood Approaches and DBSCAN 4. Dimensionality Reduction Techniques and PCA 5. Autoencoders 6. t-Distributed Stochastic Neighbor Embedding 7. Topic Modeling 8. Market Basket Analysis 9. Hotspot Analysis Appendix

Market Basket Analysis

Imagine you work for a retailer that sells dozens of products and your boss comes to you and asks the following questions:

  • What products are purchased together most frequently?
  • How should the products be organized and positioned in the store?
  • How do we identify the best products to discount via coupons?

You might reasonably respond with complete bewilderment, as those questions are very diverse and do not immediately seem answerable using a single algorithm and dataset. However, the answer to all those questions and many more is market basket analysis. The general idea behind market basket analysis is to identify and quantify which items, or groups of items, are purchased together frequently enough to drive insight into customer behavior and product relationships.

Before we dive into the analytics, it is worth defining the term market basket. A market basket is a permanent set of products in an economic system. Permanent does not...

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