Market Basket Analysis
About Market Basket Analysis Market Basket Analysis is used by retailers to analyze the buying pattern. A co-occurrence is when two or more items bought together by customers. It allows the supermarkets to identify relationships between the products that are bought by customers. It is widely used in the Retail and Telecom industry to understand. Here we will see the Market Basket Analysis with Python using Apriori algorithm. Market Basket Analysis takes data at transaction level, which lists all items bought by a customer in a single purchase. The technique determines relationships of what products were purchased with which other product(s). The rule is If {A} Then {B} The If part of the rule i.e.{A} is known as the antecedent and the Then part of the rule is known as the consequent i.e. {B}. The antecedent is the condition and the consequent is the result. Retailers can use Market Basket Analysis for - 1. Change store layout 2. Target Marketing by sending promotional messa...