Market basket analysis

Big data project. Market basket analysis Through the historical hiring path of the customer in the Entity, you can analyze your usual hiring with the aim of seeing who they are, what products are sold together, and what are the following products to hire. It starts from an initial product basket and the result will be a series of products to be contracted, which will shape the future basket. The analysis of the basket of products allows to optimize the strategies of Cross and Up Selling. The challenge is to build the best Association Rules model through Market Basket Analysis in a way that allows to have a recommendation engine for hiring products. The goal is to predict what will be the next financial product to be contracted by the customer ? To do this you have to use Microsoft Azure solutions and the different Machine Learning techniques available for this type of problems: Association rules, classification models, etc. Deliverables: 1. Create a manual, documenting each step of the process that will be used as learning material. 2. CSV file with the result of the prediction 3. Code generated.