recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

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

Laboratory for collaborative filtering

Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.

A Movie Recommender App

Hybrid Recommendation System for car selling. Developed in R language using Neo4J database.

Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.

Machine Learning in R

The main task of a recommender system is to predict the users responce to different options. This is my solution for the first capstone project in the course 'Professional Certificate in Data Science' provided by Harvard University (HarvardX) on EDX.

An exploratory data analysis Using Rstudio to compare USA 2020 Presidential candidate's election fundraising and expenses for 50 states.

Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'

Shiny App which recommends item based on your current chosen items.

Recommendation in R using Beer data to recommend for Beers using Collaborative filtering UBCF and IBCF approaches.