Mall Customer Segmentation Analysis - Clustering

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 the unsupervised ML technique (KMeans Clustering Algorithm) in the simplest form.

Content

You own 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 who can easily converge [Target Customers] so that the sense can be given to the marketing team and plan the strategy accordingly.

Attributes

1. Customer ID
2. Age
3. Gender
4. Annual income
5. Spending score

Libraries 1. pandas 2. matplotlib 3. seaborn 4. scikit-learn

Algorithm---Kmeans Clustering

Conclusion:
Clustered customers in 5 clusters and now the marketing team can plan their strategies accordingly

Dataset link:https://www.kaggle.com/vjchoudhary7/customer-segmentation-tutorial-in-python