RFM model-based Customer Segmentation using Clustering, Classification and BTYD Models

In this Project, we try to apply various Machine Learning and Statistical Models to segment and analyze Customers. Furthermore, we create Visualizations for the Data and use different techniques to improve the Models used.

Dataset

Online Retail I and II are Datasets containing all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2009 and 09/12/2011. It was acquired from the UCI Machine Learning Repository.

• https://doi.org/10.24432/C5BW33
• https://doi.org/10.24432/C5CG6D

Team Members

Rajat Paliwal	Saurabh Saini	Swastik Kulshreshtha	Utkarsh Tailor
@Rajat0729	@SaurabhSaini04	@Swastik2442	@UtkarshTailor

Setup Commands

Unix

sudo apt install python3-venv # If not already installed
python3 -m venv .venv
source .venv/bin/activate
pip3 install -r requirements.txt

Windows

python -m venv .venv
.venv\Scripts\activate.bat
pip install -r requirements.txt