Customer Segmentation using Clustering
- Offered byGreat Learning
Customer Segmentation using Clustering at Great Learning Overview
Customer Segmentation using Clustering
at Great Learning
Duration | 1 hour |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Customer Segmentation using Clustering at Great Learning Highlights
Customer Segmentation using Clustering
at Great Learning
- Earn a certificate of completion
Customer Segmentation using Clustering at Great Learning Course details
Customer Segmentation using Clustering
at Great Learning
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
Customer Segmentation using Clustering
at Great Learning
Hierarchical Clustering
Introduction to Clustering
Clustering Techniques
Points to Ponder
KMeans
DBSCAN
MeanShift
Case Study For Customer Segmenation
Customer Segmentation using Clustering at Great Learning Admission Process
Customer Segmentation using Clustering
at Great Learning
Important Dates
Nov 30, 2024
Course Commencement Date
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