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Customer Segmentation using Clustering 

  • Offered byGreat Learning
  • Private Institute

Customer Segmentation using Clustering
 at 
Great Learning 
Overview

Duration

1 hour

Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Customer Segmentation using Clustering
Table of content
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Customer Segmentation using Clustering
 at 
Great Learning 
Highlights

  • Earn a certificate of completion
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Customer Segmentation using Clustering
 at 
Great Learning 
Course details

What are the course deliverables?
  • Clustering Techniques like KMeans
  • DBSCAN
  • MeanShift
  • Agglomerative
More about this course
  • In this course, the objective is to perform segmentation using clustering techniques for a given dataset of customers visiting a mall
  • Four different techniques will be applied and compared - KMeans, DBSCAN, MeanShift, and Agglomerative
  • There will be further discussions about algorithms alterations and their current developments
  • Clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group than those in other groups

Customer Segmentation using Clustering
 at 
Great Learning 
Curriculum

Hierarchical Clustering

Introduction to Clustering

Clustering Techniques

Points to Ponder

KMeans

DBSCAN

MeanShift

Case Study For Customer Segmenation

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Customer Segmentation using Clustering
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