The Python Notebook is for Credit Card Dataset for Clustering problem on Kaggle
The problem is an example of Unsupervised learning.
This case requires to develop a customer segmentation to define marketing strategy. The sample Dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral variables.
The solution deals with the problem by segmenting the customers into 8 types by using K-means algorithm
This is also available as a public Kernel on Kaggle- https://www.kaggle.com/ihrishimane26/k-means-for-unsupervised-learning