melogabriel/basket-analysis-apriori

This project performs association analysis on a sales dataset, using the Apriori algorithm. The dataset is loaded from an Excel file, and a basket of items is created for each transaction. The Apriori algorithm is then applied to find frequent itemsets and association rules based on the support, confidence, and lift metrics.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: about 8 hours ago - Pushed at: about 24 hours ago - Stars: 2 - Forks: 1

mrmonkeyman68/-E-Commerce_Sales_Analysis

This project dives deep into the sales, delivery, and customer feedback data of major grocery delivery platforms – Blinkit, Swiggy Instamart, and JioMart. It is designed to showcase my ability to clean, analyze, and visualize data using Microsoft Excel.

Size: 11.7 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

empress007/instacart_market_sql_analysis

SQL-powered customer behavior analysis using Instacart’s market order dataset. Includes RFM segmentation, market basket analysis, and reorder pattern discovery.

Size: 10.5 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

nurulashraf/apriori-market-basket-analysis

A market basket analysis of grocery transactions is performed using the Apriori algorithm. The analysis aims to identify relationships and patterns between frequently purchased items. After loading and processing the dataset, frequent itemsets and association rules are generated, and the results are presented through a Gradio interface.

Language: Jupyter Notebook - Size: 387 KB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

lykmapipo/Scala-Spark-Product-Sales-Analysis

Scala application to process, and analyze product sales using Spark

Language: Scala - Size: 125 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

yug95/MachineLearning

Machine learning for beginner(Data Science enthusiast)

Language: Jupyter Notebook - Size: 187 MB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 115 - Forks: 131

Sourish-Kanna/Market-Basket-Analysis

A conversational AI chatbot that provides product recommendations based on market basket analysis.

Language: Python - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

CyprianFusi/market-basket-analysis-and-customers-segmentation

Data mining, market basket analysis and customers segmentation

Language: Jupyter Notebook - Size: 598 KB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AdityaSreevatsaK/Suggestify-RecommendationSystems

Suggestify-RecommendationSystems is a dedicated repository for implementing and experimenting with traditional recommendation system techniques. It covers collaborative filtering, content-based methods, and hybrid approaches, focusing on practical and scalable solutions for personalised recommendations across various domains.

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

M-Dogra/Python

Market Basket Analysis on Online Retail data

Language: Jupyter Notebook - Size: 9.46 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

PacktWorkshops/The-Unsupervised-Learning-Workshop

An Interactive Approach to Understanding Unsupervised Learning Algorithms

Language: Jupyter Notebook - Size: 115 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 32

TrainingByPackt/Applied-Unsupervised-Learning-with-Python

Discover hidden patterns and relationships in unstructured data with Python

Language: Jupyter Notebook - Size: 132 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 26 - Forks: 32

manishdevdi/Instacart-Market-Basket-Analysis

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentationty analysis are done to study customer purchase patterns and for better product marketing and cro and affiniss-selling.

Language: Jupyter Notebook - Size: 6.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Urvee1810/Market_Basket_Analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

Language: Jupyter Notebook - Size: 619 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

viznuv/Market-basket-analysis

This project performs market basket analysis on transaction data using the Apriori algorithm and association rule mining.

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Sabaudian/AMD_Market_Basket_Analysis

Algorithms for Massive Datasets (AMD) -- Market-baskets analysis project

Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

bkrai/Top-10-Machine-Learning-Methods-With-R

Includes top ten must know machine learning methods with R.

Size: 82 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 77 - Forks: 66

akshayyewle/Marketing-Analytics

Language: Jupyter Notebook - Size: 86.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

CostanzaBCestelli/market-basket-analysis

An innovative system for market basket analysis with Word2Vec and visualization.

Language: Python - Size: 7.81 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

farooqueesamiya/Association-Rule-Learning-Apriori-Eclat

In this repository, we will explore apriori and eclat algorithms of association rule learning models for market basket optimization.

Language: Python - Size: 67.4 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

LeoBorai/online-retail-market-basket-analysis 📦

Perform Market Basket Analysis on a dataset form "UC Irvine Machine Learning Repository" related to Online Retail

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

kalu-joy/market-basket-analysis-in-python

Market basket analysis is a data mining technique that helps retailers and other businesses understand the purchasing patterns of their customers.

Language: Jupyter Notebook - Size: 524 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ccarlan98/Academic-Portfolio

Academic portfolio which showcases projects completed during my graduate studies

Language: R - Size: 10.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Lefteris-Souflas/Business-Analytics-Case-Studies

Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was utilized to explore data and provide insights. A comprehensive report addressing both technical and business aspects was delivered.

Size: 1.31 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

Sriram-infohub/Market-Basket-Analysis-and-Recommendation-System

Recommendation system using ML

Language: Jupyter Notebook - Size: 381 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

SenSoumalya/Customer-Buying-Patterns-Revenue-Boost-Auto-Parts-Grocery

Market & Retail Analysis Project: Analysis of Auto Sales and Grocery Store Data using EDA, RFM, and Market Basket Analysis.

Language: Jupyter Notebook - Size: 5.66 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

aniass/Market-basket-analysis

Market Basket Analysis by using Apriori algorithm and Association rules

Language: Jupyter Notebook - Size: 469 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 2

domingosdeeulariadumba/OnlineRetailSalesAnalysis

Analysing purchasing patterns of items from an online retail company.

Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

kkrusere/Market-Basket-Analysis-on-the-Online-Retail-Data

The project dives into transaction records of an online retail business to uncover hidden relationships between products. The overall goal is a data-driven approach to enhance the customer shopping experience, improve loyalty, boost profitability, tailor marketing strategies, and optimize inventory management via strategic business decisions.

Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

Rochan79/Recommendation-and-Segmentation-in-Retail

Product Recommendation and Customer Segmentation in Retail industry using Market Basket Analysis and RFM analysis

Language: Jupyter Notebook - Size: 61.4 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

biolab/orange3-associate

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

Language: Python - Size: 662 KB - Last synced at: 25 days ago - Pushed at: 9 months ago - Stars: 65 - Forks: 37

Tanmoy0077/Market-Basket-Analysis-and-Customer-Segmentation

Market Basket Analysis and Customer Segmentation using sales data

Language: Jupyter Notebook - Size: 749 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

tstreamDOTh/Instacart-Market-Basket-Analysis

Use Instacart public dataset to report which products are often shopped together. 🍋🍉🥑🥦

Language: Jupyter Notebook - Size: 983 KB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 36 - Forks: 18

grzesiekmq/shopbot

shopping bot in python with naive bayes and Market Basket Analysis

Language: JavaScript - Size: 261 KB - Last synced at: 9 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

krishcy25/MarketBasketAnalysis-AssociationMining

This repository focuses on building Association rules (Market Basket Analysis) using Support, Confidence, Lift that gives insights on which products go together in the cart of customer's shopping

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

englianhu/ali-zonghui

🚄东方快车，🚄一带一路。分析财务产品盈亏报告、购物篮分析 https://gitee.com/englianhu

Language: R - Size: 1.48 GB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1

chetandudhane/retail-analytics-mba

Market Basket Analysis of Point of Sale data of a grocery store to generate recommendations to increase spends

Language: Jupyter Notebook - Size: 13 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shimonyagrawal/Association-Rule-Mining-for-Instacart

This repository contains coursework for the Market and Economic Research and Analysis course in the MS Applied Business Analytics program at Boston University.

Size: 8.35 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 4

Loveleen-DS/market_basket_analysis

Market basket analysis of bakery dataset

Language: Jupyter Notebook - Size: 480 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

PEDROPERDO/Oat

Oat : Hi !

Language: Jupyter Notebook - Size: 153 KB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

marinafajardo/market-basket-analysis

Projeto de Regras de Associação usando MBA em R.

Language: HTML - Size: 44 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

calistad/Customer_Analysis

Optimize sales while better understand the customers through Classification, Recommendation, and Deep Learning analysis.

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Lefteris-Souflas/SAS-Programming-and-Machine-Learning

Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.

Language: SAS - Size: 16.1 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

sumantha-NTS/Market-Basket-Analysis

Market basket analysis for the grocery store. Creating the association rules for the same

Language: Jupyter Notebook - Size: 317 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Tejas-Nakave/Stocks-Data-using-Market-basket-Analysis

Market basket analysis uses data mining techniques to identify patterns in customer purchase behavior by examining items frequently bought together. This analysis helps retailers optimize product placement, tailor promotions, and improve inventory management, ultimately enhancing sales and customer satisfaction.

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

atharva-narkhede/Market-Basket-Analysis-for-Amazon-Product-Recommedation

Conducted Market Basket Analysis (MBA) on Amazon product dataset to enhance recommendations. Identified top-selling products and top products in each category using review count. Implemented asso- ciation rule mining for personalized recommendations. Evaluated effectiveness through metrics.

Language: Jupyter Notebook - Size: 5.69 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

balamuruganpm/Market_Basket_Analysis

Project 10: Market Basket Insights

Language: Python - Size: 18.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

roniantoniius/Groceries-Product-Recommendation-Using-Market-Basket-Analysis-FP-Growth

Discover grocery purchase patterns to boost sales and enhance customer satisfaction using FP-Growth for precise product recommendations.

Language: Jupyter Notebook - Size: 7.59 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Wilfrida-Were/Market-Basket-Analysis

Market Basket Analysis

Language: Jupyter Notebook - Size: 21.6 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

akvalv/Smart_Retailer-InformationProduct

A customer segmentation and product recommendation system using RFM Analysis, Market Basket Analysis & Item Based Collaborative Filter

Language: Jupyter Notebook - Size: 7.59 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

AprajitaChhawi/Data-Science

Data Science from the very basics along with some projects

Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

dqtphu30/eclat-algorithm

Market Basket Analysis using ECLAT Algorithm

Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

abbasudo/emoji-apriori

apriori algorithm for emoji

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Elilora/Market-basket-analysis

The goal of this project is to analyze transactional data from a grocery store to identify patterns and associations between items frequently bought together

Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Nessrin1990/CodeClause_-Market_Basket_Analysis_using_Apriori_Algorithm

Market_Basket_Analysis_using_Apriori_Algorithm

Language: Jupyter Notebook - Size: 351 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

widyayutika/Recommendation-System-for-Retail-Product

Group Project for Data Science for Business Project (SMU Master of IT in Business)

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

remykarem/apriori-rs

Apriori for association rule mining with Python bindings 🦀🐍

Language: Rust - Size: 6.59 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 1

sharmapratik88/Mortgage_Insurance

Cross the PPI products to those customers who currently don't have one.

Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 4

emrecanduran/Market-Basket-Analysis-on-TripAdvisor-Portugal-based

Market Basket Analysis, Portugal based, on TripAdvisor Top 100 Tourist Attractions dataset from January 1, 2019 to August 21, 2021.

Language: Jupyter Notebook - Size: 5.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

J-B-Mugundh/IBMAI101-Artificial-Intelligence

IBM Naan Mudhalvan Artificial Intelligence: Project - 10: Market Basket Analysis

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

damaniayesh/Analytics-in-Retail_MBA

The project provides the Apriori algorithm and Market Basket Analysis (MBA) to analyze transactional data, generating personalized recommendations based on Support, Confidence, and Lift metrics to enhance customer experience and boost sales.

Language: Jupyter Notebook - Size: 49.8 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shejz/businesscience

Business Science Case Study Rmarkdown

Size: 14.5 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 2

MKB-Datalab/marketing-analysis-part-1-market-basket-analysis

This first tutorial in marketing analysis with Python introduces Market Basket Analysis (MBA) , a powerful tool used for product promotion and recommendation.

Language: Jupyter Notebook - Size: 4.7 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

jaymmodi/AprioriAlgorithm

This repository is used to find the association rules in huge data sets For eg: Market Basket Analysis. Apriori Algorithm is used to calculate frequent itemsets in transactions which in turn will be used to calculate Association rules.

Language: Java - Size: 28.3 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

yihong-chen/DREAM

rnn based model for recommendations

Language: Python - Size: 48.8 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 87 - Forks: 42

Honey28Git/Marketing-Retail-Analytics

This is a Market Basket Analysis project for a Cafe Chain Outlet. Thorough analysis of Cafe chain has been done and menu analysis to find out RFM analysis of the top customer and Menu Analysis to figure out the top performing products of the Cafe Chain. Market Basket Analysis is done for product analysis to understand customer behaviour.

Language: Jupyter Notebook - Size: 8.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

aprayogaaa/streamlit-mba

Language: Python - Size: 14.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

satishrath185/Market-Basket-Analysis

Market Basket Analysis of Grocery and Retail dataset by Association Rules mining

Language: Jupyter Notebook - Size: 373 KB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 7

rstankovic/Retail-Data-Analytics

Ten Retail Data Analytics Projects, Heavy Focus on ML. Emphasis on consumer behavior.

Language: Jupyter Notebook - Size: 354 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

apoorvadudani/Market-Basket-Analysis-Using-Supermarket-Retail-Data

I use R to analyze shopping transaction data, identify which supermarket items are frequently purchased together using association rule mining and the strength of those relationships, visualize the findings, and evaluate potential profit margins for different items.

Language: R - Size: 46.9 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Piyushmittal2192/Product-Marketing-Using-Association-Rule-Mining

Objective : Product Analysis for a store to identify the products that are frequently bought together.

Language: R - Size: 3.04 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

Sarthak-Mohapatra/Market-Basket-Analysis-using-Apriori-Algorithm-on-grocery-data

Market Basket Analysis using Apriori Algorithm on grocery data.

Language: Python - Size: 124 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 6

easonlai/market_basket_analysis_retail_sample

This is a demo repo demonstrating how to perform Market Basket Analysis (MBA) with a Retail (Grocery Store) sample.

Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Anveshika06/EATON-Hackathon

A 3-phased data mining-based project for Market Basket Analysis, customer segmentation, and extensive data analysis using the tool power B.I.

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

xavierfactor/Banking-Association-Rule-Mining

ARM and Market Basket Analysis using SAS Enterprise Miner

Size: 765 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

GokulSuseendran/INSTA-CART-Analysis

The main focus of this project is to draw as many insights from the data containing transactions of the online grocery store to suggest good business ideas to the retail store in order to satisfy the customer needs and to make profits.

Language: R - Size: 767 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

swap-253/Recommender-Systems-Using-ML-DL-And-Market-Basket-Analysis

This repository consists of collaborative filtering Recommender systems like Similarity Recommenders, KNN Recommenders, using Apple's Turicreate, A matrix Factorization system from scratch and a Deep Learning Recommender System which learns using embeddings. Besides this Market Basket Analysis using Apriori Algorithm has also been done. Deployment of Embedding Based Recommender Systems have also been done on local host using Streamlit, Fast API and PyWebIO.

Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 4

rsquaredacademy/mbar

Miscellaneous functions used in our online R courses

Language: R - Size: 82 KB - Last synced at: about 5 hours ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

nitishabharathi/Retail-Store-Customer-Segmentation

Retail Store Customer Segmentation using k-means algorithm.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Abhaykumar04/Market-Basket-Analysis

Uncover customer preferences with Market Basket Analysis, exploring item associations and sales patterns. Using the Apriori Algorithm, this project identifies significant trends, top-selling items, and recommends strategic actions for increased sales and efficiency.

Language: Jupyter Notebook - Size: 428 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Raknash3/Market-Basket-Analysis-using-RFM-Modelling-for-Enhanced-Decision-Making

This project employs Market Basket Analysis and RFM (Recency, Frequency, Monetary) Analysis to decode customer purchasing patterns. Utilizing advanced analytics such as K-means clustering and ARIMA modeling, it identifies product associations, segments customers, and forecasts future sales trends.

Language: Jupyter Notebook - Size: 52.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mp-balaji/Market_Basket_Analysis-Marketing-Analytics

This project involves the implementation of Market Basket Analysis, a powerful technique in retail analytics.

Language: Jupyter Notebook - Size: 8.58 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rtimbro185/syr_mads_ist707_data_analytics

Syracuse University, Masters of Applied Data Science - IST 707 Data Analytics

Language: Jupyter Notebook - Size: 112 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

rtimbro185/syr_mads_ist718_big_data_analytics

Syracuse University, Masters of Applied Data Science - IST 718 Big Data Analytics

Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

AjNavneet/RuleBasedRecommendation_MarketBasket_RetailData

Rule based and market basket based recommendation system for retail data.

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kaylaisya/MarketBasketAnalysis

Implementation of Apriori Algorithm on Market Basket Data with Rstudio

Language: R - Size: 521 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

DiegoUsaiUK/Market_Basket_Analysis

Market Basket Analysis with Recommendation Algorithms & Shiny App Implementation of a Product Recommendation System for an Online Retailer

Language: R - Size: 1.03 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 29 - Forks: 20

realdataforbreakfast/Market_Basket_Analysis_Cyprus_Restaurant

The market basket analysis aims to use sales data to gain insights into consumer patterns and preferences in order to identify consumption trends at one of the chain's most popular restaurants in Nicosia, the capital of Cyprus.

Language: Jupyter Notebook - Size: 5.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

javieralmonacid/market-basket-analysis

A little project for a course on the mathematics of data science. Includes brief review on association rule algorithms.

Language: HTML - Size: 871 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

emanuelemorales/Spark-Market-Basket-Analysis

Implementation of a-priori and SON algorithm on Spark.

Language: Jupyter Notebook - Size: 255 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

dinap18/Data_Mining

Homework assignments from the course, Data Mining. Topics covered include: data warehousing, Apriori - market basket analysis, decision trees, supervised learning algorithms, and unsupervised learning algorithms.

Language: Python - Size: 11.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

MNoorFawi/association-rules-with-R

Doing Market Basket Analysis using Apriori Algorithm to recommend items that are frequently bought together to do up-sale using R and deploying the model in a Shiny App.

Language: R - Size: 97.7 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

Asikpalysik/Market-Basket-Analysis

Market basket analysis with Apriori algorithm

Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

grzesiekmq/MBANet

MLP-based Market Basket Analysis Network

Language: Python - Size: 17.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tranthienmy22/market-basket-analysis-bread-basket

This project uses Python and Jupyter Notebook to perform Data pre-processing, Data exploration and visualizations and Market Basket Analysis of an bakery café "Bread Basket" in Edinburgh.

Language: Jupyter Notebook - Size: 412 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

ManuhIsMe/Customer-Segmentation_Churn-Prediction_Fraud-Detection

This comprehensive dataset is a goldmine for data scientists, analysts, and researchers interested in exploring a wide range of topics within the realm of online retail. It encompasses a rich collection of customer behavior and characteristics, making it a versatile resource for tackling multiple aspects of data analysis and prediction.

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melodygr/grocery_recommendation

Grocery Recommendation on Instacart Data

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juliabuixuan/Marketing-Analytics-project

Customer Focus: prevention of the churn of high value customers by a marketing campaign for customer retention (CHURN + RFM). Product Focus: Increase the profit by a marketing campaign for product cross-selling (MBA). Feedback Focus: Address detractor and promoter customers with a loyal engagement marketing campaign (SENTIMENT ANALYSIS)

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LarsTinnefeld/olist_ecom_analysis

Data analysis about Brazilian e-commerce business Olist

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gswarge/market_basket_analysis

In this project, I performed market basket analysis for the Instacart dataset. I have used the Apriori Algorithm on the Aisle and department level to understand which departments or aisles are usually purchased together.

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