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Vijay Choudhary (2018). Mall Customer Segmentation Data [Dataset]. https://www.kaggle.com/vjchoudhary7/customer-segmentation-tutorial-in-python
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Mall Customer Segmentation Data

Market Basket Analysis

Explore at:
21 scholarly articles cite this dataset (View in Google Scholar)
zip(1583 bytes)Available download formats
Dataset updated
Aug 11, 2018
Authors
Vijay Choudhary
Description

Context

This data set is created only for the learning purpose of the customer segmentation concepts , also known as market basket analysis . I will demonstrate this by using unsupervised ML technique (KMeans Clustering Algorithm) in the simplest form.

Content

You are owing a supermarket mall and through membership cards , you have some basic data about your customers like Customer ID, age, gender, annual income and spending score. Spending Score is something you assign to the customer based on your defined parameters like customer behavior and purchasing data.

Problem Statement You own the mall and want to understand the customers like who can be easily converge [Target Customers] so that the sense can be given to marketing team and plan the strategy accordingly.

Acknowledgements

From Udemy's Machine Learning A-Z course.

I am new to Data science field and want to share my knowledge to others

https://github.com/SteffiPeTaffy/machineLearningAZ/blob/master/Machine%20Learning%20A-Z%20Template%20Folder/Part%204%20-%20Clustering/Section%2025%20-%20Hierarchical%20Clustering/Mall_Customers.csv

Inspiration

By the end of this case study , you would be able to answer below questions. 1- How to achieve customer segmentation using machine learning algorithm (KMeans Clustering) in Python in simplest way. 2- Who are your target customers with whom you can start marketing strategy [easy to converse] 3- How the marketing strategy works in real world

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