Customer Segmentation using K-Means Clustering

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Customer Segmentation using K-Means Clustering

By DarchumsTech

Overview

This machine learning project segments mall customers based on their income and spending score using K-Means clustering. It's useful for understanding customer groups for targeted marketing.

Python Code


import pandas as pd
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from sklearn.preprocessing import StandardScaler

df = pd.read_csv("Mall_Customers.csv")
X = df[['Annual Income (k$)', 'Spending Score (1-100)']]
X_scaled = StandardScaler().fit_transform(X)

kmeans = KMeans(n_clusters=5, random_state=42)
df['Cluster'] = kmeans.fit_predict(X_scaled)

Cluster Visualization

Illustration of customer segmentation with different audience groups

The image above illustrates how different customer clusters can be visualized and understood in a business context.

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