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ECOMMERCE CONSUMER Behavioral Analysis

Jupyter Notebook 100.00%
apache-spark association-rules data-analysis data-visualisation etl fp-growth-algorithm k-means-clustering postgresql python

e-commerce-behavioral-analysis's Introduction

ECOMMERCE CONSUMER Behavioral Analysis

The study of how individuals interact with online shopping platforms and make purchasing decisions.

Main Features

  • Customer Segmentation Based On Product Categories using K-means Clustering
  • Items Frequently Bought Together using Association Alogrithm - FP Growth

About the requried code

  • First do the ETL process with code files (1-8 files) within Analysis code folder using Jupter Notebook or other.
  • Setup the database with Postgresql with the provided Schema.
  • After that, we need to do the analysis so the run the files (9-11 files) from Analysis code folder.

Check the project overview here --> https://docs.google.com/presentation/d/1Y4RV3qDJM_SbH9MLNPkVxgNQQUyliyDgdO_zNLO7LxA/edit?usp=sharing

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