https://github.com/shogunbanik18/custoseg

Custoseg is an algorithmic Marketing based Project to do Customer Segmentation using KMean Clustering Algorithm and targeted Recommendations based on each segment
https://github.com/shogunbanik18/custoseg

data-science kmeans-clustering-algorithm machine-learning unsupervised-machine-learning

Last synced: 4 months ago
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Custoseg is an algorithmic Marketing based Project to do Customer Segmentation using KMean Clustering Algorithm and targeted Recommendations based on each segment

• Host: GitHub
• URL: https://github.com/shogunbanik18/custoseg
• Owner: shogunbanik18
• Created: 2022-07-23T10:53:22.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-07-23T11:15:07.000Z (almost 3 years ago)
• Last Synced: 2025-01-12T19:33:49.726Z (5 months ago)
• Topics: data-science, kmeans-clustering-algorithm, machine-learning, unsupervised-machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 118 KB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Customer_Segementation_Analysis

![image](https://user-images.githubusercontent.com/75260179/180602713-d5e9e715-9ca3-4d63-9723-f768b07c2fd8.png)

* Data Science Unsupervised Machine learning Project

* Algorithms used : K-Mean Clustering 

* Implemented in Google Colaboratory with the help of Python 3.9

* Techstack : Numpy,Pandas,Matplotlib

## Aim 

* To understand the customers and applying different marketing approaches by build clustering models

## Predictions

* The Model Predicts on the Basis of Features like Annual income, Spending Score(1-100) , Age , Gender and Customer ID