Apriori algorithm with Python Code Apriori algorithm Concepts classic association rule learning algorithm used in data mining and machine learning to identify relationships between different items in a dataset. It is used to extract frequent item sets and association rules from large datasets, by exploring the relationships between different items based on their frequency of occurrence. Here is an example of how the Apriori algorithm works : Suppose we have a dataset of customer transactions, where each transaction includes a list of items that the customer has purchased. We want to identify relationships between different items and use this information for targeted marketing campaigns. We use the Apriori algorithm to extract frequent item sets and association rules from the dataset. The algorithm works by first identifying all the frequent single items, then using these to generate frequent pairs, and so on until a stopping criterion is met. Apriori algorithm  Algorithm Define the pro