CUSTOMER SEGMENTATION USING KMEANS CLUSTERING IN PYTHON: A STEP-BY-STEP TUTORIAL

📰 Medium · Data Science

Learn customer segmentation using K-means clustering in Python with a step-by-step tutorial, applying data science methods to identify significant patterns and contribute to business growth.

intermediate Published 22 Apr 2026

Action Steps

Import necessary Python libraries such as pandas, numpy, and scikit-learn to start working with customer data.
Preprocess the data by handling missing values, scaling, and encoding categorical variables to prepare it for clustering.
Apply K-means clustering algorithm to segment customers based on their behavior and characteristics.
Evaluate the clusters using metrics such as silhouette score and calinski-harabasz index to determine the optimal number of clusters.
Visualize the clusters using dimensionality reduction techniques such as PCA or t-SNE to understand customer segments.

Who Needs to Know This

Data scientists and analysts can benefit from this tutorial to improve their skills in customer segmentation and clustering, while business stakeholders can gain insights into how data science can drive business decisions.

Key Insight

💡 K-means clustering is a powerful technique for customer segmentation, allowing businesses to identify patterns and make data-driven decisions.

Key Takeaways

Learn customer segmentation using K-means clustering in Python with a step-by-step tutorial, applying data science methods to identify significant patterns and contribute to business growth.

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Title: CUSTOMER SEGMENTATION USING KMEANS CLUSTERING IN PYTHON: A STEP-BY-STEP TUTORIAL

URL Source: https://medium.com/@gowrisankarreddy09/customer-segmentation-using-kmeans-clustering-in-python-a-step-by-step-tutorial-b5cfcfb62e51?source=rss------data_science-5

Published Time: 2026-04-22T21:35:35Z

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# CUSTOMER SEGMENTATION USING KMEANS CLUSTERING IN PYTHON: A STEP-BY-STEP TUTORIAL | by Gowrisankarreddy | Apr, 2026 | Medium

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# CUSTOMER SEGMENTATION USING KMEANS CLUSTERING IN PYTHON: A STEP-BY-STEP TUTORIAL

## From Mall Customer Data to Clustering- Step by Step

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Illustrative image of K-means Clustering (Image generated via Gemini)

_The current data-driven business world has made the knowledge of customer behavior a crucial component in gaining competitive advantage. Increasingly, organizations are utilizing data science methods to identify significant patterns and contrib

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CUSTOMER SEGMENTATION USING KMEANS CLUSTERING IN PYTHON: A STEP-BY-STEP TUTORIAL

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