Summary
In this chapter, we have performed unsupervised clustering. After dimensionality reduction, agglomerative clustering was used. To better profile customers in clusters based on their family structures, income, and spending habits, we divided users into four clusters. This can be applied while creating more effective marketing plans.
In the next chapter, we will dive into the prediction of sales using time-series data to be able to determine revenue expectations given a set of historical sales, as well as understand their relationship with other variables.
