Machine Learning - UnSupervised Learning - Overview Tutorial

In unsupervised learning, we don't have labeled data. A model can identify patterns, anomalies, and relationships in the input data.

Unsupervised Learning is divided into two part i.e Clustering and Association

Clustering -  Clustering is a method of grouping the similar object into cluster and dissimilar object as other cluster

Association - Association rule learning is a type of unsupervised learning technique that checks for the dependency of one data item on another data item and maps accordingly so that it can be more profitable. 

For example, on reviewing each bills of shopping mall, you will find whenever milk is purchase, at the same time egg is also purchased. Which means there is strong association between egg and milk ,and you will placed both item at same place for more profit