Market Basket Analysis

The video tutorial explains the implementation of the Apriori algorithm for market basket analysis. It covers creating a dataset, preprocessing data using transaction encoding, and applying the Apriori algorithm to find frequent itemsets. The tutorial also discusses generating and analyzing association rules to gain insights into product placement and cross-selling opportunities.

What is the first step in generating Association rules using the Apriori algorithm?

Explain the importance of data preprocessing before applying the Apriori algorithm.

Describe how the Apriori algorithm identifies frequent itemsets.

What are the key variables included in the final Association rules table?

What does a higher lift value indicate in the context of Association rules?

How can the insights gained from the Association rules be applied in a retail environment?

What unexpected associations can arise from Market Basket analysis, and why are they valuable?