BUSI 651 – Machine Learning
The provided dataset “Franchises Dataset” contains data collected from different 100 franchises.
The data contains the net profit (million $) for each franchise, the counter sales (million $), the
drive-through sales (million $), and the type of the franchise.
Address the following questions:
a) Develop a Neural Network (NN) prediction model for the net profit (Number of layers =
3, dense layers, activation function of Tan, number of nodes in each layer = 20).
b) What is the forecast of the net profit, if the counter sales are 500,000 $, drive-through
sales are 700,000$, and the franchise is a pizza store. Comment on the forecasted value.
c) What are the limitations of the model?
Submit a PDF file for your answers as well as the excel sheet. Include the Python code in the
Due to June 8, 2022.
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