Challenge: Customer Segmentation
Challenge yourself to preprocess a customer dataset and segment the customers using the k-means algorithm.
We'll cover the following
Problem statement
In this challenge, you’ll work on a shopping mall customer dataset. The dataset contains the details for 200 customers, and there are no empty values. The challenge is divided into two parts:
Part 1: Your first challenge is to process and shape the dataset for building a customer segmentation model using the k-means clustering algorithm.
Part 2: Your second challenge is to segment the customers based on their
AnnualIncome
andSpendingScore
features.
Here are the feature details.
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