Simpler Stock Management is a stock & inventory web app. Designed for small businesses, charities and non-profits.

• UpdatedNov 12, 2025
• JavaScript

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

• UpdatedMar 27, 2021
• Python

This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.

• UpdatedJan 27, 2020
• Jupyter Notebook

From RDBMS to Graph, using a classic dataset

• UpdatedOct 8, 2024
• Cypher

3rd place solution for RetailHero.ai/#2

• UpdatedMar 1, 2020
• Python

A curated list of awesome retail software, platforms, podcasts, and conferences.

• UpdatedApr 15, 2025

In the retail industry a trade area, also known as a catchment area, is the geographic area from where you draw your customers. Here I derive trade area from scratch

• UpdatedMar 28, 2022
• Python

A simple Market Basket Analysis that uses the apriori algorithm to find affinities between retail products

• UpdatedOct 31, 2018
• R

Data mining course project

• UpdatedNov 26, 2020
• Jupyter Notebook

R-Analysis: Identifying high value customers and low value of customers using RFM modelling

• UpdatedJun 11, 2020
• Jupyter Notebook

A sales forecasting problem in Retail Sector solved using time series analysis, machine learning and deep learning methodologies.

• UpdatedNov 12, 2020
• Jupyter Notebook

Customer Segmentation and Targeting for Retail Industry

• UpdatedJan 22, 2023

.Net Standard library for working with the National Retail Federation Merchandising Calendar.

• UpdatedJan 15, 2020
• C#

Walmart sales prediction with Linear Regression and Random Forests + Bayesian Structure Learning

• UpdatedJul 18, 2020
• Jupyter Notebook

This repository is implementation of Exploratory Data Analysis on Retail data.

• UpdatedOct 4, 2018
• Jupyter Notebook

This repo contains my customer segmentation project in Python.

• UpdatedOct 22, 2018
• Jupyter Notebook

A repo containing code for retail sales analyses

• UpdatedJun 22, 2020
• Jupyter Notebook

Exploring Market Basket Analysis

• UpdatedApr 17, 2021
• Jupyter Notebook

Using Pandas, scikit learn, Seaborne libraries for data cleaning and exploratory data analysis on retail data

• UpdatedDec 21, 2020
• Jupyter Notebook

The target in this case, is to create a model of machine learning to know the behaviour of users. What is required is an end-to-end model such as those seen in practice in the module. In this case, you have to apply three models and choose the best one, but the previous part is common to all three.

• UpdatedMar 23, 2021
• Jupyter Notebook