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This repository contains a Jupyter Notebook that implements Gaussian Mixture Model (GMM) for semantic segmentation and background extraction. GMM class is implemented from scratch without using any libraries like sklearn.
Datasets for this notebook consists of credit card usage behavior of customers with 18 behavioral features. Segmentation of customers can be used to define marketing strategies.