A simple stock management and inventory web app, designed for small businesses and nonprofits.

3rd place solution for RetailHero.ai/#2

Implementation of FP-Growth Algorithm for finding frequent pattern in Transactional Database.

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

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

Simple C# class library with functions related to the National Retail Federation's 4-5-4 Merchandise Calendar. Calendar starts in Febuary and ends in December. Additional information can be found here https://nrf.com/resources/4-5-4-calendar

Raw data of real analytical use cases in a number of industries and companies are frequently provided in an Excel-based form. These files usually cannot be processed directly in machine learning models, but must first be cleaned and preprocessed. In this process, many different types of pitfalls may occur. This makes data preprocessing an essential time factor in the daily work of a data scientist. In this concise project an Excel spreadsheet will be presented which in this form is closely oriented to a real case, but contains only simulated figures for reasons of data and business results protection. However, the form and structure of the file corresponds to a real case and could be encountered by a data scientist in a company in this way.

A repo containing code for retail sales analyses

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

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

Implementation of Apriori Algorithm using HashTree for finding Frequent Pattern in Transactional Database.

Clustering Algorithm for clustering retail products according to custom requirements.

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

Quantium Data Analytics Virtual Experience Program provided by InsideSherpa

Using the Apriori algorithm of the Arules package throughout this project to get insight into the top 10 and bottom 10 of the products sold, get a list of all product package combinations with strong correlations and get a list of all product package combinations with specific items.

Text analytics project focusing on Brazil's e-commerce data to evaluate customer/supplier patterns.

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

Analyse an online retail dataset for customers segmentation

Parser + analyzer for cars just by one link

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

Building Time Series Exponential Smoothing models to forecast temperature and ARIMA model to forecast weekly sales for a retail store.

This repo contains my customer segmentation project in Python.

Classifying in R Identifying Categories for Customer Complaint’s Mediation Automation

In this project, I analyzed the point of sale transactional dataset to identify sales trends, suggest menu changes, and the impact of pricing changes.

Scope of this project is to calculate Daily Revenue from retail products

Spain Retail based on UCI data. Analysis Method : Regression

Usage of FPGrowth Algorithm to find frequent item sets