Data Mining project 2020/2021 @ University of Pisa

This is a code sample repository for online retail product recommendations using Collaborative Filtering (Memory-Based, aka History-Based). The source data used the famous Online Retail Data Set from UCI Machine Learning Repository.

Embark on a thorough investigation as we navigate the transactional dataset of UCI, a non-store retail UK company, utilizing SQL queries and PowerBI visualization tools. This analysis empowers businesses with strategic insights for precise inventory management and sales planning in the coming year.

RFM (Recency, Frequency, Monetary) Analysis on an Online Retail Customers using K-Means Clustering with Python

code for kaggle OTTO competition (got silver medal)

Online retail store website project.

This project leverages machine learning techniques to analyze online retail data through customer segmentation. It uses KMeans clustering to identify key customer groups and proposes tailored business strategies based on their purchasing behaviors.

Analyze product data for an online sports retail company to optimize revenue.

Online Retail Dashboard

Mini Portfolio Analisis Penjualan pada sebuah Ritel Online

ECOMMAPP is a robust and user-friendly eCommerce platform designed to provide a seamless online shopping experience. The application offers a wide range of products, easy navigation, and secure payment options, catering to both customers and merchants.

An online retail store end to end database application

This project focuses on exploring product recommendations within the realm of luxury fashion resale. It serves as a companion to my thesis of the MSc Marketing Analytics program at TiU.

This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. It includes data cleaning, exploration, and visualization, with the goal of enhancing understanding of online retail dynamics.

Statistical analysis of the Online Retail II dataset using R. Includes data cleaning, EDA, hypothesis testing, and business insights with visualizations.

The 3DToyBox E-commerce store is a modern online platform designed to cater to the growing demand for customizable collectibles. With an intuitive user interface and robust backend infrastructure, the website offers customers a seamless shopping experience.

Analyze product data for an online sports retail company to optimize revenue by using SQL

A Comparative Study of K-Means Clustering and Rule-Based Segmentation for RFM Analysis on the UCI Machine Learning Online Retail Dataset

Online Retail Store DBMS made using MySQL and Flask

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