Program to cluster users based on their age and spending score and give relevant suggestions to users.
K-means clustering is used to create clusters of existing users.
Item based recommender system is implemented using K-nearest neighbors classification to provide suggestions to user (the most frequently bought item of the cluster to which the user belongs to are recommended).