Mall Customer Segmentation - for Market Basket Analysis

The projects' main goal is to identify - 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. We can implement this idea using Machine Learning Models.
Dataset-https://www.kaggle.com/datasets/vjchoudhary7/customer-segmentation-tutorial-in-python

https://github.com/sahaycodes

Define You

• GSSOC Participant
• Contributor

Project Name

Mall Customer Segmentation - ML Project

Description

We know, that for any product-based business, it becomes very important to understand what their customers -likes and dislikes.
In, addition to that also form great trust with the customers and even attract new customers for their business, that's where Customer Segmentation comes into the picture, and it helps businesses to create a Marketing Strategy for the same. In this project we would try to analyse Customer Segmentation for a Mall and create a ML model using clustering algorithms.

Scope

The dataset, I'm working on is limited for the -Mall, but the concept behind Customer Segmentation can be used for different businesses of various - scale (Large, Medium, Small)

Timeline

It would require me 4 days to complete the project from the day, When I'll be assigned this issue .

Video Links or Support Links

[Links that can support the project in anyway]