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

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

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

🚄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

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

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.

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.

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.

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.

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.

🍊 📦 Frequent itemsets and association rules mining for Orange 3.

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.

Includes top ten must know machine learning methods with R.

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

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

(SAS and Enterprise Miner) ARM and Market Basket Analysis

Scala application to process, and analyze product sales using Spark