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This case requires to develop a customer segmentation to understand customer's behaviour and separate them in different groups according to their preferences, and once the division is done, this information can be given to marketing team so they can plan the strategy accordingly.

Jupyter Notebook 97.71% Python 2.29%
machine-learning machine-learning-algorithms machinelearning hacktoberfest hacktoberfest2021 hacktoberfest-accepted

mail-customers-segmentation's Introduction

Customers-Segmentation

📌Objective

This case requires to develop a customer segmentation to understand customers behavior and sepparate them in different groups or cluster according to their preferences, and once the division is done, this information can be given to marketing team so they can plan the strategy accordingly.

📁 Data Description

The sample Dataset summarizes the usage behavior of about 200 active customers during the last 3 months. The file is at a customer level with 5 behavioral variables.

🔑Prerequisites

All the required libraries are included in the file requirements.txt

⚠️TechStack/framework used

  • Machine Learning
  • Clustering
  • K-Means
  • Agglomerative
  • GaussianMixture Model
  • DBSCAN
  • Dunn Index
  • Silhouette Score

👬Clustering

❤️Owner

Made With ❤️ by Sidharth kumar mohanty

😖Troubleshoot

Any issues??? Feel free to ask.Linkedin

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mail-customers-segmentation's People

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