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 Rationalize the chosen structure of the network 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) Simulate the impact of the model variables d) Discuss the application of the activation functions and the application of the Feedforward Neural Netwrok e) What are the limitations of the model Submit a PDF file for your answers as well as the Python code in the PDF Net Profit Counter Sales Drive through Sales Business Type 2 8 4 7 7 Caf 1 3 3 3 4 5 Caf 1 2 5 8 8 4 Pizza Store 2 4 10 7 8 Burger store 0 7 4 7 2 4 Caf 1 3 7 7 4 8 Caf 1 1 4 5 2 5 Caf 2 3 8 6 3 4 Burger store 0 9 5 9 2 Caf 1 6 6 3 4 1 Burger store 2 8 4 7 7 Caf 1 3 3 3 4 5 Caf 1 7 5 8 8 4 Caf 1 4 10 7 8 Pizza Store 1 2 4 7 2 4 Burger store 1 8 7 7 4 8 Burger store 1 6 4 5 2 5 Burger store 1 8 8 6 3 4 Caf 1 4 5 9 2 Burger store 1 1 6 3 4 1 Caf 1 5 8 4 7 7 Pizza Store 1 3 3 3 4 5 Caf 1 2 5 8 8 4 Pizza Store 2 4 10 7 8 Burger store 1 2 4 7 2 4 Burger store 1 3 7 7 4 8 Caf 1 1 4 5 2 5 Caf 1 3 8 6 3 4 Pizza Store 0 9 5 9 2 Caf 1 6 6 3 4 1 Burger store 2 8 4 7 7 Caf 0 8 3 3 4 5 Pizza Store 2 2 5 8 8 4 Burger store 2 4 10 7 8 Burger store 1 2 4 7 2 4 Burger store 0 8 7 7 4 8 Pizza Store 1 6 4 5 2 5 Burger store 1 8 8 6 3 4 Caf 0 9 5 9 2 Caf 1 6 6 3 4 1 Burger store 2 8 4 7 7 Caf 0 8 3 3 4 5 Pizza Store 1 2 5 8 8 4 Pizza Store 1 9 10 7 8 Caf 0 7 4 7 2 4 Caf 0 8 7 7 4 8 Pizza Store 0 6 4 5 2 5 Pizza Store 2 3 8 6 3 4 Burger store 0 9 5 9 2 Caf 1 6 6 3 4 1 Burger store 2 8 4 7 7 Caf 1 3 3 3 4 5 Caf 1 2 5 8 8 4 Pizza Store 2 4 10 7 8 Burger store 0 7 4 7 2 4 Caf 1 8 7 7 4 8 Burger store 0 6 4 5 2 5 Pizza Store 2 3 8 6 3 4 Burger store 0 4 5 9 2 Pizza Store 1 1 6 3 4 1 Caf 2 5 8 4 7 7 Burger store 1 8 3 3 4 5 Burger store 2 2 5 8 8 4 Burger store 2 4 10 7 8 Burger store 1 2 4 7 2 4 Burger store 0 8 7 7 4 8 Pizza Store 1 1 4 5 2 5 Caf 1 3 8 6 3 4 Pizza Store 0 9 5 9 2 Caf 0 6 6 3 4 1 Pizza Store 2 5 8 4 7 7 Burger store 1 3 3 3 4 5 Caf 2 2 5 8 8 4 Burger store 1 9 10 7 8 Caf 0 2 4 7 2 4 Pizza Store 1 8 7 7 4 8 Burger store 1 6 4 5 2 5 Burger store 2 3 8 6 3 4 Burger store 1 4 5 9 2 Burger store 0 6 6 3 4 1 Pizza Store 1 7 8 4 7 7 Pizza Store 1 8 3 3 4 5 Burger store 2 6 5 8 8 4 Burger store 1 4 10 7 8 Pizza Store 0 2 4 7 2 4 Pizza Store 1 7 7 4 8 Pizza Store 0 6 4 5 2 5 Pizza Store 2 3 8 6 3 4 Burger store 1 6 5 9 2 Caf 0 6 6 3 4 1 Pizza Store 2 5 8 4 7 7 Burger store 1 6 3 3 4 5 Burger store 1 2 5 8 8 3 Pizza Store 1 9 9 8 7 8 Caf 1 2 4 7 2 4 Burger store 1 8 7 7 4 8 Burger store 0 6 4 5 2 5 Pizza Store 1 3 9 1 3 4 Pizza Store 1 5 9 2 2 Caf 1 8 6 3 4 2 Burger store

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Question: The provided dataset Franchises Dataset contains data collected from different 100 franchises. The data contains the net profit (million $) for each franchise, the counter

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. Rationalize the chosen structure of the network. 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) Simulate the impact of the model variables. d) Discuss the application of the activation functions and the application of the Feedforward Neural Netwrok. e) What are the limitations of the model? Submit a PDF file for your answers as well as the Python code in the PDF.

Net Profit	Counter Sales	Drive-through Sales	Business Type
2	8.4	7.7	Caf
1.3	3.3	4.5	Caf
1.2	5.8	8.4	Pizza Store
2.4	10	7.8	Burger store
0.7	4.7	2.4	Caf
1.3	7.7	4.8	Caf
1.1	4.5	2.5	Caf
2.3	8.6	3.4	Burger store
0.9	5.9	2	Caf
1.6	6.3	4.1	Burger store
2	8.4	7.7	Caf
1.3	3.3	4.5	Caf
1.7	5.8	8.4	Caf
1.4	10	7.8	Pizza Store
1.2	4.7	2.4	Burger store
1.8	7.7	4.8	Burger store
1.6	4.5	2.5	Burger store
1.8	8.6	3.4	Caf
1.4	5.9	2	Burger store
1.1	6.3	4.1	Caf
1.5	8.4	7.7	Pizza Store
1.3	3.3	4.5	Caf
1.2	5.8	8.4	Pizza Store
2.4	10	7.8	Burger store
1.2	4.7	2.4	Burger store
1.3	7.7	4.8	Caf
1.1	4.5	2.5	Caf
1.3	8.6	3.4	Pizza Store
0.9	5.9	2	Caf
1.6	6.3	4.1	Burger store
2	8.4	7.7	Caf
0.8	3.3	4.5	Pizza Store
2.2	5.8	8.4	Burger store
2.4	10	7.8	Burger store
1.2	4.7	2.4	Burger store
0.8	7.7	4.8	Pizza Store
1.6	4.5	2.5	Burger store
1.8	8.6	3.4	Caf
0.9	5.9	2	Caf
1.6	6.3	4.1	Burger store
2	8.4	7.7	Caf
0.8	3.3	4.5	Pizza Store
1.2	5.8	8.4	Pizza Store
1.9	10	7.8	Caf
0.7	4.7	2.4	Caf
0.8	7.7	4.8	Pizza Store
0.6	4.5	2.5	Pizza Store
2.3	8.6	3.4	Burger store
0.9	5.9	2	Caf
1.6	6.3	4.1	Burger store
2	8.4	7.7	Caf
1.3	3.3	4.5	Caf
1.2	5.8	8.4	Pizza Store
2.4	10	7.8	Burger store
0.7	4.7	2.4	Caf
1.8	7.7	4.8	Burger store
0.6	4.5	2.5	Pizza Store
2.3	8.6	3.4	Burger store
0.4	5.9	2	Pizza Store
1.1	6.3	4.1	Caf
2.5	8.4	7.7	Burger store
1.8	3.3	4.5	Burger store
2.2	5.8	8.4	Burger store
2.4	10	7.8	Burger store
1.2	4.7	2.4	Burger store
0.8	7.7	4.8	Pizza Store
1.1	4.5	2.5	Caf
1.3	8.6	3.4	Pizza Store
0.9	5.9	2	Caf
0.6	6.3	4.1	Pizza Store
2.5	8.4	7.7	Burger store
1.3	3.3	4.5	Caf
2.2	5.8	8.4	Burger store
1.9	10	7.8	Caf
0.2	4.7	2.4	Pizza Store
1.8	7.7	4.8	Burger store
1.6	4.5	2.5	Burger store
2.3	8.6	3.4	Burger store
1.4	5.9	2	Burger store
0.6	6.3	4.1	Pizza Store
1.7	8.4	7.7	Pizza Store
1.8	3.3	4.5	Burger store
2.6	5.8	8.4	Burger store
1.4	10	7.8	Pizza Store
0.2	4.7	2.4	Pizza Store
1	7.7	4.8	Pizza Store
0.6	4.5	2.5	Pizza Store
2.3	8.6	3.4	Burger store
1.6	5.9	2	Caf
0.6	6.3	4.1	Pizza Store
2.5	8.4	7.7	Burger store
1.6	3.3	4.5	Burger store
1.2	5.8	8.3	Pizza Store
1.9	9.8	7.8	Caf
1.2	4.7	2.4	Burger store
1.8	7.7	4.8	Burger store
0.6	4.5	2.5	Pizza Store
1.3	9.1	3.4	Pizza Store
1	5.9	2.2	Caf
1.8	6.3	4.2	Burger store

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