Server component of the Simple Stock Management stock & inventory web app. Designed for small businesses & non-profits.
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Updated
May 24, 2024 - Python
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
Data mining course project
This repo contains my customer segmentation project in Python.
Customer Segmentation and Targeting for Retail Industry
A simple Market Basket Analysis that uses the apriori algorithm to find affinities between retail products
Usage of FPGrowth Algorithm to find frequent item sets
This is a sample code repository that leveraged "Walmart Dataset (Retail)" from Kaggle to perform Exploratory Data Analysis (EDA) and Weekly Sales Forecast model development for demonstration purposes.
3rd place solution for RetailHero.ai/#2
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…
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.
A complete dashboard of Walmart Retail Data Analysis using Tableau.
A sales forecasting problem in Retail Sector solved using time series analysis, machine learning and deep learning methodologies.
This repository is implementation of Exploratory Data Analysis on Retail data.
.Net Standard library for working with the National Retail Federation Merchandising Calendar.
Walmart sales prediction with Linear Regression and Random Forests + Bayesian Structure Learning
Unit testing for Data science projects
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