Building Time Series Exponential Smoothing models to forecast temperature and ARIMA model to forecast weekly sales for a retail store.
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Updated
Jan 16, 2018 - R
Building Time Series Exponential Smoothing models to forecast temperature and ARIMA model to forecast weekly sales for a retail store.
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
Data Warehousing project | Outsourced for Autumn Group | Retail Outlet DW | Melbourne based | Sep - Feb 2018
This repository is implementation of Exploratory Data Analysis on Retail data.
This repo contains my customer segmentation project in Python.
A simple Market Basket Analysis that uses the apriori algorithm to find affinities between retail products
Clustering Algorithm for clustering retail products according to custom requirements.
Classifying in R Identifying Categories for Customer Complaint’s Mediation Automation
Analyse an online retail dataset for customers segmentation
.Net Standard library for working with the National Retail Federation Merchandising Calendar.
This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.
3rd place solution for RetailHero.ai/#2
Usage of FPGrowth Algorithm to find frequent item sets
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 essent…
Scope of this project is to calculate Daily Revenue from retail products
R-Analysis: Identifying high value customers and low value of customers using RFM modelling
A repo containing code for retail sales analyses
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