How to Perform Customer Segmentation in Python
Scikit-Learn - for building our Customer Segmentation Model. Seaborn, Matplotlib and Plotly Express - for data visualization . If you don't have some or any of these libraries, you can check out their official documentations online to see how to install them. Dataset We'll Use for this Project The dataset we'll use in this project comes from ...
In this tutorial, we'll walk through how to perform customer segmentation using Python and machine learning techniques. We'll cover the key steps including loading and exploring the customer dataset, preprocessing the data , reducing dimensionality with PCA, clustering customers using the K-Means algorithm, visualizing and interpreting the ...
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Key Details About Data Visualization Using Python For Customer Segmentation
This repository contains a comprehensive project aimed at analyzing and segmenting customers based on their purchasing behaviors and demographics for a marketing campaign. The project leverages Python for data manipulation, visualization , and clustering. - Salo-26/ Customer - Segmentation
Learn customer segmentation using machine learning in Python . This tutorial covers data preprocessing, and actionable insights to enhance marketing strategies.
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