retail-data
There are 66 repositories under retail-data topic.
UplandsDynamic/simple-stock-management
Server component of the Simple Stock Management stock & inventory web app. Designed for small businesses & non-profits.
Avinash793/FPGrowth-and-Apriori-algorithm-Association-Rule-Data-Mining
Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.
klaudia-nazarko/rfm-analysis-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.
geffy/retailhero-recommender-solution
3rd place solution for RetailHero.ai/#2
neo4j-graph-examples/northwind
From RDBMS to Graph, using a classic dataset
joymnyaga/MarketBasketAnalysis-Apriori-Algorithm
A simple Market Basket Analysis that uses the apriori algorithm to find affinities between retail products
pareshg18/Customer-Segmentation
R-Analysis: Identifying high value customers and low value of customers using RFM modelling
sawadogosalif/Trade_area_analysis
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
AkhithaBabu/Retail-Sector
A sales forecasting problem in Retail Sector solved using time series analysis, machine learning and deep learning methodologies.
Dorsa-Arezooji/Retail-Analytics
Walmart sales prediction with Linear Regression and Random Forests + Bayesian Structure Learning
mhertzfeld/NRF_MerchandisingCalendar
.Net Standard library for working with the National Retail Federation Merchandising Calendar.
rajat7570/Improving-Consumer-Retailer-Connectivity
Data mining course project
Soumith23/CustomerSegmentationAndTargeting
Customer Segmentation and Targeting for Retail Industry
Davidglezc/ML-Retail-Business
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.
hamin123/Market-Basket-Analysis-Example
Exploring Market Basket Analysis
iam-mhaseeb/EDA-on-Retail-Data
This repository is implementation of Exploratory Data Analysis on Retail data.
limchiahooi/customer-segmentation-rfm
This repo contains my customer segmentation project in Python.
RAVI-CHANDRIKA-05/Customer-Segmentation-Unsupervised-Learning
In this project, I will be performing an unsupervised clustering of customer's records from a Retail Chain.
RRighart/Retail
A repo containing code for retail sales analyses
shizakhalidi/Retail-Sales-Data-EDA
Using Pandas, scikit learn, Seaborne libraries for data cleaning and exploratory data analysis on retail data
stalhabukhari/ARC
A vision-based Automatic Retail Checkout System
besunny95/Powerbi-project
This data visualization is done with powerbi and it explains the exploratory data analysis on dataset samplesuperstore
datasith/ds-datasets-sku110k
Scripts for manipulating the annotation files of the SKU110K dataset
dgluesen/wrangling-sales-workload
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.
EconMaett/matthiassp.github.io
Using Payment Transaction Data to monitor Turnover in Retail Trade and Services in Switzerland
Huang9495/GSPN
Code release for Geometry Supervised Pose Network for Accurate Retail Shelf Pose Estimation (GSPN) (IEEE TII).
indyfree/tailor
Clustering Algorithm for clustering retail products according to custom requirements.
LisaLi525/Retail-Customer-Segmentation-Profile
Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.
pallavitilloo/Descriptive-Data-Mining
Descriptive Data Mining for UK Retail Dataset
phanvinh0526/Data-Warehouse
Data Warehousing project | Outsourced for Autumn Group | Retail Outlet DW | Melbourne based | Sep - Feb 2018
pratikdaga12/DataAnalysis-for-ClothingStoreData
SAS Data Analysis on Retail Clothing Data Set
RahulChugwani/retailSpace
Web platform where Retail Shop Owners can signup and manage their daily sales, customer analytics, and shop inventories effectively. They can manage potential customers, generated sales, and can view detailed inventory transactions using smart graphs/tables.
RAVI-CHANDRIKA-05/CODEBASICS_CHALLENGE9
This repository contains files for my Codebasics Challenge #9: Analyse Promotions and Provide Tangible Insights to Sales Director
RobyRiyanto/Machine-Learning-For-Retail
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.