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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.
RFM (Recency, Frequency, Monetary) Analysis on an Online Retail Customers using K-Means Clustering with Python
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.
Online retail store website project.
code for kaggle OTTO competition (got silver medal)
Analyze product data for an online sports retail company to optimize revenue.
Online Retail Dashboard
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.
Mini Portfolio Analisis Penjualan pada sebuah Ritel Online
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.
An online retail store end to end database application
PySpark data analysis of the Online Retail Data Set
Online Retail Store DBMS made using MySQL and Flask
Analytical SQL Project where we had to analyze the dataset and come up with 5+ insights and divide the customers into segments using analytical functions.
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.
RFM model-based Customer Segmentation using Clustering, Classification and BTYD Models
Online Retail Database Project is a example of a design and database for an online shop that sells various item.
This Cohort table sorts customers by when they made their first purchase and calculate the retention rate of each groups by checking how many of them keep buying over months.
Analyze product data for an online sports retail company to optimize revenue by using SQL
Analisis 3 Point (Keuntungan per Item, Total Diskon, Total Retur) dari Bisnis Penjualan Online
Oat : Hi !
Dive into comprehensive e-commerce sales analytics with this Excel-based dashboard. Gain valuable insights into key metrics, visualize trends, and make informed business decisions. Explore the GitHub repository for the source code and start optimizing your e-commerce performance.