Association Rule Mining which is a rule based machine learning method for discovering interesting relations between variables in large databases is implemented with 2 algorithms (1. Apriori 2.FP Growth).

Working AprioriAlgorythm (market basket Anaylasis)

Code from seminars and homework, second year in the university

Using the Apriori algorithm of the Arules package throughout this project to get analytsis

Customer Segmentation Analysis, developed using Python, by using Clustering Algorithm for the purpose of dividing the customers into groups based on the similarity in different ways that are relevant to marketing such as location, items, spending score, salary and accordingly identify customers’ behavior and interests and focus on them for futur…

Implementation of Apriori Algorithm in Python

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

Data Science from the very basics along with some projects

Data Analytics in the E-Commerce Industry [Volume 3]

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

Data Science and Machine Learning in Python

Decision support system to predict and correct prescription errors

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.

R Market Basket (Apriori and Arules) Analysis and Visualization

This project analyzes sales data to answer interesting business questions and provide insights to the management team including market basket analysis

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

Miscellaneous functions used in our online R courses

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.

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.