online-retail | Topic | Ecosyste.ms: Repos

Topic: "online-retail"

dmeoli/OnlineRetail

Data Mining project 2020/2021 @ University of Pisa

Language: Jupyter Notebook - Size: 235 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 4

easonlai/online_retail_product_recommendation_samples

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.

Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

aryanGupta-09/Nexus_Mart

Online retail store website project.

Language: JavaScript - Size: 442 KB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 3 - Forks: 3

vishrut-b/clustering-analysis-of-online-retail-data

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.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

Mushrafali/ECOMMAPP

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.

Language: HTML - Size: 6.64 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

as16082023/Forage--TATA--Virtual-Internship

Online Retail Dashboard

Size: 21.9 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Fedorov-Artem/kaggle_OTTO

code for kaggle OTTO competition (got silver medal)

Language: Jupyter Notebook - Size: 407 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Huyen-P/UCI_Online_Retail_Analysis

Embark on a thorough investigation as we navigate the transactional dataset of UCI, a non-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.

Language: TSQL - Size: 56.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

HermawanHermawan/Optimizing-Retail-Revenue-in-SQL

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

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

Otniel113/OnlineRetail

Mini Portfolio Analisis Penjualan pada sebuah Ritel Online

Language: Jupyter Notebook - Size: 198 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

felixamaladhas/Customer-Clustering-and-Purchase-Affinity-Modeling-using-ML-Predictive-Algorithms

Apply customer segmentation using unsupervised learning and perform market basket analysis to uncover purchasing patterns from the Online Retail dataset.

Language: Jupyter Notebook - Size: 569 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

rono1995/online-retail

This project focuses on building an online retail platform that connects customers with various products. It features user-friendly navigation, secure payment options, and a responsive design for seamless shopping experiences.

Size: 792 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Ehsan-Behzadi/Online-Retail-Data-Analysis-and-Preprocessing

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.

Language: Jupyter Notebook - Size: 1.86 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Debojyoti1234567/SQL-Project

This project is a SQL-based Online Retail Database Management System, designed to store, manage, and analyze retail business data. It includes customer details, products, orders, and transactional records, enabling insightful data analysis through SQL queries.

Size: 6.84 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

zargiteddy/RFM-Customer-Segmentation

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

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

tayayounan/Big_Data_OnlineRetail

Leveraging PySpark and H2O to analyze a dataset of online retail transactions. This project focuses on data preprocessing, exploratory data analysis, and modeling to extract valuable insights and improve decision-making for e-commerce businesses.

Language: Jupyter Notebook - Size: 906 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

PEDROPERDO/Oat

Oat : Hi !

Language: Jupyter Notebook - Size: 153 KB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

emrecanduran/RFM-Model-UK-Online-Retail

In this repository, RFM customer segmentation is applied for a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.

Language: Jupyter Notebook - Size: 101 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Swastik2442/RFM_OnlineRetail

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

Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

terrychitter/the3dtoybox-ecommerce-store

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.

Language: PHP - Size: 43.2 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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