regression algorithms coming to unsupervised learning this type of learning can be used to solve association problems and clustering problems association problems basically involve discovering patterns in data finding co-occurrences and so on a classic example of Association rule mining is a relationship between bread and jam so people who tend to buy bread also tend to buy jam over here it's all about finding associations between items that frequently co-occur or items are similar to each other apart from Association problems unsupervised