Hello, I'm trying to develop a Market Basket Analysis using over 90 different categories and I'm not quite sure which model would be the best option for this amount of variables?
Also I could use some direction on which algorithms and variables are the most relevant in the construction of a Purchasing Propensity Model (e.g. age, frequency of purchase, average ticket value, purchases in other categories, etc.)
Thanks in advance for your help
