Using R to implement Association rule mining.
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Updated
Mar 8, 2020 - R
Using R to implement Association rule mining.
Repositorio para datos y documentos de la asignatura del máster en Ciencia de Datos: Minería de datos, detección de anomalías y aprendizaje no supervisado.
Using association rules to understand which variables affect each other, either negatively or positively or independently.
Miscellaneous functions used in our online R courses
Use association rule to find the frequently pick items in the list.
MDS-FIB Multivariate-Analysis (MVA) subject 2024-25 Q1
The project involves conducting a thorough analysis of Point of Sale (POS) Data for providing recommendations through which a coffee chain restaurant can increase its revenue by either taking off certain items from the menu or coming up with popular combo meals for customers.
it is our solutions to the big data labs taught in college 🖥️📊📝
Project carried out on July 2020 for "Data Mining" (Higher Diploma in Data Analytics at National College of Ireland)
Implementation of Apriori Algorithm on Market Basket Data with Rstudio
Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms
DM-MCDA: A web-based platform for data mining and multiple criteria decision analysis: a case study on road accident
Exploratory Data Analysis of a Perfume Chain Stores Clients and Purchases with RFM Score, Clustering, Association Rules, and Prediction Models
Data Science Projects in R
This covers unsupervised learning topics like k-means/hierarchial clustering and association rules
The repository contains several Jupyter notebooks, each of which covers a different machine learning project, such as sentiment analysis, image classification, and customer segmentation. You also have code examples and datasets included to help users understand and implement the projects themselves.
Recommendation engine for movie lens database
Repositorio para el proyecto de la asignatura Tratamiento Inteligente de Datos del del Máster Ingeniería Informática UGR.
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