Type of course:
Digital learning, Lesson
Language:
EN
Duration:
15 minutes
Proficiency:
Intermediate
Target:
Manager, Professionals, Workers
SUMMARY
Have you ever wondered how businesses know which products to place side by side or which combinations are most frequently purchased? This lesson on Market Basket Analysis (MBA) dives into the Apriori algorithm, a fundamental technique that reveals hidden patterns in transactional data. By mastering the Apriori algorithm, you’ll gain the ability to identify frequent product combinations, optimize inventory, and enhance supply chain efficiency.
In this lesson, you will apply the MBA apriori technique identify frequent product combinations on a real tabular dataset.

About The Author
Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.
Learning outcomes
- By the end of this lesson, learners will be able to define the Apriori algorithm.
- By the end of this lesson, learners will be able to explain the strengths and limitations of the Apriori algorithm.
- By the end of this lesson, learners will be able to interpret the results of the algorithm to make data-driven decisions in supply chain management.
Course Content
Topics
Automation and Sensoring, Automation and Robotics, Digital Transformation, Machine Learning
