The supply chain management department of an online retailer has collected data to predict the demand of particular items in Cape Town. Some of the variables for each item recorded in the data set are previous purchases, time of year of purchase, and frequency of purchase. Given that accuracy is more relevant than interpretability in this scenario, which method would you explore first to predict the demand of particular items?

Question $8$Select one:

a$.$

K$-$means clustering

b$.$

Hierarchical clustering

c$.$

Tree$-$based model

d$.$

Neural network