Market Basket Analysis
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Learn the fundamentals of market basket analysis. Discover how to apply association rules to understand customer behavior and improve sales strategies with AI-driven insights.
At a Glance
Market basket analysis is a data mining technique used by retailers to boost sales and analyze customers’ purchasing patterns. In this project, you will perform a market basket analysis for “The Bread Basket,” a bakery located in Edinburgh. The data set has 20507 entries, over 9000 transactions, and 4 columns.
This basket can be used to create recommendations for shopping, product ranges, promotional offers, and placement on supermarket shelves.
Market basket analysis is a powerful 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
- Download and pre-preparation data – download and change of a DataSet structure necessary for market basket analysis.
- Data Visualizations – preliminary market basket analysis.
- Association Rule – construction and analysis of associative rules.
- Visualization of Association Rules – plotting a dynamic graph that reflects the associative rules.
Prerequisites
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