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 and SpendingScore features.

Here are the feature details.

Get hands-on with 1200+ tech skills courses.