Mall Customer Segmentation using K-Means Algorithm
-
Updated
Feb 25, 2023 - Jupyter Notebook
Mall Customer Segmentation using K-Means Algorithm
Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques
Mall customer segmentation using K Means Clustering
Customer Segmentation using KMeans algorithm on Mall_Customers Dataset.
A mall customer segmentation machine learning model categorizes customers based on their behaviors and preferences, enabling businesses to tailor marketing strategies and optimize operations for improved customer satisfaction and business growth.
mall cusomer segmenation using usupervised ML (dbscan, k-cmean, fcmean)
This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The goal of this project is to cluster the customers based on their purchasing behavior and demographic characteristics.
Add a description, image, and links to the mall-customer-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the mall-customer-segmentation topic, visit your repo's landing page and select "manage topics."