This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.

A customer segmentation prediction and analysis project with the implementation of RFM analysis and DBSCAN clustering algorithm

Customer segmentation by using the RFM method and K-Means clustering

This project uses customer segmentation to analyse customer data from a firm and then draws findings and data-driven ideas from it. The data collection consists of consumer data from Ulabox, an online supermarket.

Automate messages across email, SMS, webhooks, & native mobile push 📨 💬 📧

This project showcases how to perform Recency, Frequency, and Monetary (RFM) analysis using the powerful Polars DataFrame library in Python.

This repository contains customer segmentation project which I have implemented so far. Other segmentation projects will be showcased here.

Customer segmentation in the airline industry for targeted marketing and growth opportunities

Real world cooperate Project I will be conducting analysis on client's transaction dataset and identify customer purchasing behaviours to generate insights and provide commercial recommendations.

This project aims to segment customers to organize them into specific groups based on shared characteristics and build a model to predict customer response to the next marketing campaign.

A RFM model is implemented to relate to customers in each segment this code has been implemented in R

Detailed analysis of a company’s ideal customers, helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers

Customer Segmentation using R

Group Project for Data Science for Business Project (SMU Master of IT in Business)

End-to-End deployment of E-commerce customers segmentation using Clustering Machine learning algorithms in Google Cloud Platform and MLOps Tools

This project is my personal project about Marketing Campaign using dataset from Big Tech Company provided by Rakamain Academy. I created Clustering Model with Python (Sklearn) to get best model from the dataset that can used for arrange their next marketing strategic planning.

A topic designed by Warwick Business School requires students to enhance loan portfolio management by utilising cluster analysis to group borrowers with similar characteristics, enabling personalised loan products, targeted marketing strategies, and a better customer support process to serve the unique needs of each segment through cluster analysis

Unsupervised clustering of a grocery firm’s customer’s database to form Customer Segmentation.

Tools for Customer Segmentation using RFM Analysis