Here, I present a notebook where I have worked on the dataset from kaggle Costumer clustering (https://www.kaggle.com/datasets/dev0914sharma/customer-clustering), applying different methods of clustering (k-Means and Hieralchical). Also, I present some interesting ideas to work on the analysis of the features of the data and on the interpretation of the clustering, which in this particular task is a key point.
My notebook can be found in this link:
https://colab.research.google.com/drive/1gskKItV3brVmxKqdQuK_wPW8-eQ3S2Ot?usp=sharing
In case there is any problem with the link, I attach here the dataset used: