Customer segmentation using KMeans
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.
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 like who can be easily converged [Target Customers] so that this result can be given to the marketing team to plan the strategy accordingly.
From Udemy's Machine Learning A-Z course.
By the end of this case study , The following questions would be answered. 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 converGe] 3- How the marketing strategy works in real world