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Clustering: It is an unsupervised learning technique used to group similar data points into clusters. The input
                 data is unlabelled data. For example, grouping customers based on shopping behaviour to target personalised
                 marketing.

                 Association

                 Association is an unsupervised learning method that is used to find interesting relationships or patterns among
                 variables in a dataset. It is widely employed to identify relationships between items, sets frequently purchased
                 items together in large databases, helping to analyse how items or events are related to each other.

                 Consider an example of the items purchased by customers:




                           Consider a supermarket example wherein
                             • Customer A buys bread, butter, and milk
                              • Customer B buys rice, bread, and butter



                                                                              Customer A            Customer B

                 Based on the purchase pattern of customers A and B, can you predict any Customer X who buys bread will most
                 probably buy?














                                     Customer A               Customer B             Customer X

                 In this case, we might discover an association rule such as:
                 "If customer A buys 'Milk', they are likely to buy 'Cereal' or 'Bread'."
                 Therefore, such meaningful associations can be useful to recommend items to customers. This is called Association
                 rule.

                 Summary of detailed classification of ML models:

                                                                  Machine Learning






                           Supervised Learning                 Unsupervised Learning               Reinforcement Learning




                    Classification      Regression          Clustering         Association





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