Offered By: IBM

Market Basket Analysis for Marketing

This lab is dedicated to performing the market basket analysis based on the dataset which belongs to "The Bread Basket", a bakery located in Edinburgh. The dataset has 20507 entries, over 9000 transactions, and 4 columns.

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GPXX0R8UEN

Artificial Intelligence

66 Enrolled
(3)

At a Glance

This lab is dedicated to performing the market basket analysis based on the dataset which belongs to "The Bread Basket", a bakery located in Edinburgh. The dataset has 20507 entries, over 9000 transactions, and 4 columns.

All modern companies, including online stores, analyze customer transactions and use them to form a market basket.  This is a set of popular products that are bought together. 

This basket can be used for planning marketing campaigns.  It can be used to create recommendations for shopping, product range, placement on supermarket shelves or making promotional offers.

Market Basket Analysis is a powerful marketing tool for turning a huge number of customer transactions into simple, easy-to-visualize rules used to promote a product and build sales recommendations.

What you will learn

In this lab, we will learn to perform the analysis of the market basket using both classical methods of data visualization and the Apriori algorithm, standard indicators, rules of association, aggregation and pruning. We will also learn how to visualize associative rules in the form of a dynamic graph.

Estimated Effort

2 hours

Level

Advanced

Industries

Marketing

Skills You Will Learn

Data Science, Machine Learning, Artificial Intelligence

Language

English

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Instructors

Profile picture for Yaroslav Vyklyuk

Yaroslav Vyklyuk

Full Professor, Doctor of Computer Science, PhD

Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.

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