Mirror of `apriori`,`fpgrowth` and `sequoia` from `Christian Borgelt`

An analysis of orders placed on Instacart website to create a Recommendation Engine in R

The Champo Carpets needed a recommendation system which would make their order conversion rate better, so we use a wide range of different predictive models and unsupervised models inorder to bring out the best practices Champo Carpets company that they can use inorder to be successful. Programming Language Used - R Programming Language, IDE - R…

The main objective of this analysis is to identify products that customers want to purchase, and enables sales and marketing teams to develop more effective product placement, pricing, cross-sell, and up-sell strategies.

This project is a Market Basket Analysis App that analyzes customer purchase patterns to generate association rules and offer personalized product recommendations.

Data Mining (CS F415) | Research Project

This repository contains coursework for the Data Mining course in the MS Applied Business Analytics program at Boston University.

Data Preparation and Association Rule Mining

IMPLEMENTATION-OF-ASSOCIATION-RULE-MINING-AND-REGRESSION-ON-E-LEARNING-PLATFORM

Assignment from UECS3213 Data Mining from University Tunku Abdul Rahman. We will be classifying the type of glass, based on the data obtained from https://www.kaggle.com/datasets/uciml/glass. Besides that, there will also be a small section on performing Association Rule Mining.

ECLAT Algorithm - UEH

Association Rule Mining on the votes of the 1984 United States Congressman dataset. Project for the Knowledge and Data Mining exam.

Online Coding Internship By Suven Consultants & Technology. During this Internship, I have worked on projects related to Data Analytics, Machine Learning, NLP and Association Rule - Mining.

Ecommerce Data Analysis and Purchase pattern discovery using Apriori Algorithm

Finding Association Rules from Semantic web data using Spark framework

Mining association rules within a dataset for frequent items, using Apriori.

A Product Sequence Predictor and Recommender Application made as a part of the Machine Learning Lab Course in the curriculum of B. Tech. Data Science & Engineering at Manipal Institute of Technology.

UG Final Year Project based on Suffix Forest Based Tri-clustering