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Learn AI with Python · Lesson

K-Means Clustering Project

Applying it to a real dataset.

1

K-Means Clustering Project

In this project, we’ll apply K-Means clustering to a real-world dataset: customer segmentation. The goal is to group customers based on their spending patterns.

K-Means Clustering Project — illustration 1

2

Dataset Overview

The dataset contains the following columns:

  • Customer ID: Unique identifier for each customer.
  • Age: Age of the customer.
  • Annual Income: Annual income in thousands of dollars.
  • Spending Score: A score assigned based on customer behavior and spending patterns (1–100).

All lessons in this course

  1. Introduction to Clustering Algorithms
  2. K-Means Clustering
  3. K-Means Clustering Project
  4. Dimensionality Reduction Basics
  5. Dimensionality Reduction Application
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