The ultimate goal of this project is to cluster the clients of a German bank, using the machine learning algorithm K-Means in order to provide the bank with important information about its clients and to try to answer the business question: "How should the bank personalise its investment products for its customers?".
The original dataset contains 1000 observations (people asking for a credit in a bank) with 10 variables for each person.
The project was developed entirely in the R language with detailed comments in the code