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Customer Behavior Analysis project utilizing the "Groceries Market Basket Dataset" from Kaggle. The project employs a data-driven approach to uncover customer purchasing patterns and relationships within the grocery market using K-means Clustering and Association Rules using Apriori-Algorithm. In calloboration with some friends.
Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it allows retailers to identify relationships between the items that people buy.