Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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Updated
Jan 24, 2024 - R
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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.
Movie Recommendation System: Project using R and Machine learning
Laboratory for collaborative filtering
code for Gogleva et al manuscript
🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)
Relations / rating prediction in trust-based social networks
A Real Time Course Recommender System in R
Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.
Developing a Recommender System for Customers in a Scan and Go store using Apriori Algorithm in Market Basket Analysis
Factoried Personalized Markov Chains for Next Basket Recommendation in R and Python
Capstone Submission #1 for the Harvard University Professional Certificate in Data Science.
Benchmarking different implementations of weighted-ALS matrix factorization
Book-a-bike is a concept app that enables bike-reservation from bike-sharing services.
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python
Project on recommender systems within the data mining course in my master's program.
Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.
R interface to the fastFM library
Shiny App for recommending a movie based on the user's review.
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