This repository contains the code and resources for the supermarket customer segmentation project. Using clustering techniques, data visualization, data exploration, and ETL processes, this project aims to segment supermarket customers based on their purchasing behavior to enable targeted marketing strategies and improve customer service.
☆16Jan 28, 2025Updated last year
Alternatives and similar repositories for Customer-Segmentation-Project
Users that are interested in Customer-Segmentation-Project are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Studies on Prompt Engineering☆17Oct 27, 2024Updated last year
- Analyzing data to understand and predict the CO2 emissions of vehicles based on their characteristics. This project addresses the larger …☆16Dec 21, 2023Updated 2 years ago
- Implementing a LLM models designed to help on energy matters (ODS8)☆17Dec 20, 2024Updated last year
- Prompt Engineering studies. This application is focused on evaluating prompts on different LLMs responses on a big variety of prompts. Al…☆17Jan 19, 2025Updated last year
- Text Classification techniques applied with Machine Learning python libraries☆17Apr 4, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Scripts of works on datasets using techniques of Clustering: K-Means, Hierarchical Clustering, DBScan, LIME, SHAP and a bit more. In addi…