This is the code for a Market Basket Analysis project I have carried out. I have split the output into three parts that I have organised as follows:

1. In the first chapter, I source, explore and format a complex dataset suitable for modelling with recommendation algorithms. The DATA can be found here: Online Retail

2. For the second part, I will apply various machine learning algorithms for Product Recommendation and select the best performing model. This will be done with the support of the recommenderlab package. For Recommenderlab Package see: https://cran.r-project.org/package=recommenderlab

3. In the third and final instalment, I will implement the selected model in a Shiny Web Application. Find here the Product Recommender.