Challenge: Customer Segmentation
Explore the process of preparing customer data and applying the K-Means clustering algorithm to segment customers based on Annual Income and Spending Score. Understand dataset encoding, feature standardization, and clustering model training to effectively group customers for marketing insights.
We'll cover the following...
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 ...