Machine Learning in R
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Updated
Feb 20, 2019 - R
Machine Learning in R
Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'
An exploratory data analysis Using Rstudio to compare USA 2020 Presidential candidate's election fundraising and expenses for 50 states.
Hybrid Recommendation System for car selling. Developed in R language using Neo4J database.
Shiny App which recommends item based on your current chosen items.
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.
Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.
Recommendation in R using Beer data to recommend for Beers using Collaborative filtering UBCF and IBCF approaches.
Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.
Laboratory for collaborative filtering
Market Basket Analysis with Recommendation Algorithms & Shiny App Implementation of a Product Recommendation System for an Online Retailer
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
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