Avinash Reddy Sankati

This project involved creating an interactive web application in the Azure cloud platform. I analyzed various demographic factors, including household size, income range, and the presence of children, to identify which ones affected customer engagement. I found that most of the units sold were purchased by customers with incomes between $50,000 and $74,000 and that the largest units sold were bought by customers living in two-bedroom houses. However, there were fewer units purchased by families of four, so the store may want to offer incentives and discounts for families to increase sales. The "K-nearest neighbor" algorithm is a simple machine-learning approach well-suited for this problem.