Server component of the Simple Stock Management stock & inventory web app. Designed for small businesses & non-profits.

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

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

From RDBMS to Graph, using a classic dataset

3rd place solution for RetailHero.ai/#2

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

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

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

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

Data mining course project

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

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

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

Customer Segmentation and Targeting for Retail Industry

Exploring Market Basket Analysis

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

Data Warehousing project | Outsourced for Autumn Group | Retail Outlet DW | Melbourne based | Sep - Feb 2018

A repo containing code for retail sales analyses

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

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.