Project 4: Customer Segmentation by K_Means_Clustering
Problem Statement
You want to understand the customer’s spending behaviour and group them so that, more critical insights can be given to the marketing team which will help them plan strategies accordingly.
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I approached this problem statement by designing a model that uses certain customer data to group them accordingly.
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Dataset - Fetched the data from the Kaggle resource which I have linked in my Github Repository. The Dataset includes various features/information about the customers.
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Model - The major aim in this project is to group the customers based on their spending pattern using the K-Means clustering algorithm. This allows us to generate better bussiness insights and assist the market strategists.
![](https://mugiiwaraaa.github.io/Fahad_Portfolio/images/Customer_Groupsml4.png)
A visualization of the Groups of Customers based on their spending behaviour and annual income.
![](https://mugiiwaraaa.github.io/Fahad_Portfolio/images/Elbow_Point_Graphml4.png)
Elbow Point Graph to determine the optimum number of clusters
Please Check out my Github Repository for all the details: Link to Github Repository