Chat with us, powered by LiveChat The provided dataset Franchises Dataset? contains data collected from different 100 franchises. The data contains the net profit (million \$) for each franchise, | EssayAbode

## 11 Jun The provided dataset Franchises Dataset? contains data collected from different 100 franchises. The data contains the net profit (million \$) for each franchise,

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.

1. 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).
2. 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.
3. 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 PDF.

## Franchise_data

 Net Profit Counter Sales Drive-through Sales Business Type 2 8.4 7.7 1 Café 1 1.3 3.3 4.5 1 Pizza Store 2 1.2 5.8 8.4 2 Burger store 3 2.4 10 7.8 3 0.7 4.7 2.4 1 1.3 7.7 4.8 1 1.1 4.5 2.5 1 2.3 8.6 3.4 3 0.9 5.9 2 1 1.6 6.3 4.1 3 2 8.4 7.7 1 1.3 3.3 4.5 1 1.7 5.8 8.4 1 1.4 10 7.8 2 1.2 4.7 2.4 3 1.8 7.7 4.8 3 1.6 4.5 2.5 3 1.8 8.6 3.4 1 1.4 5.9 2 3 1.1 6.3 4.1 1 1.5 8.4 7.7 2 1.3 3.3 4.5 1 1.2 5.8 8.4 2 2.4 10 7.8 3 1.2 4.7 2.4 3 1.3 7.7 4.8 1 1.1 4.5 2.5 1 1.3 8.6 3.4 2 0.9 5.9 2 1 1.6 6.3 4.1 3 2 8.4 7.7 1 0.8 3.3 4.5 2 2.2 5.8 8.4 3 2.4 10 7.8 3 1.2 4.7 2.4 3 0.8 7.7 4.8 2 1.6 4.5 2.5 3 1.8 8.6 3.4 1 0.9 5.9 2 1 1.6 6.3 4.1 3 2 8.4 7.7 1 0.8 3.3 4.5 2 1.2 5.8 8.4 2 1.9 10 7.8 1 0.7 4.7 2.4 1 0.8 7.7 4.8 2 0.6 4.5 2.5 2 2.3 8.6 3.4 3 0.9 5.9 2 1 1.6 6.3 4.1 3 2 8.4 7.7 1 1.3 3.3 4.5 1 1.2 5.8 8.4 2 2.4 10 7.8 3 0.7 4.7 2.4 1 1.8 7.7 4.8 3 0.6 4.5 2.5 2 2.3 8.6 3.4 3 0.4 5.9 2 2 1.1 6.3 4.1 1 2.5 8.4 7.7 3 1.8 3.3 4.5 3 2.2 5.8 8.4 3 2.4 10 7.8 3 1.2 4.7 2.4 3 0.8 7.7 4.8 2 1.1 4.5 2.5 1 1.3 8.6 3.4 2 0.9 5.9 2 1 0.6 6.3 4.1 2 2.5 8.4 7.7 3 1.3 3.3 4.5 1 2.2 5.8 8.4 3 1.9 10 7.8 1 0.2 4.7 2.4 2 1.8 7.7 4.8 3 1.6 4.5 2.5 3 2.3 8.6 3.4 3 1.4 5.9 2 3 0.6 6.3 4.1 2 1.7 8.4 7.7 2 1.8 3.3 4.5 3 2.6 5.8 8.4 3 1.4 10 7.8 2 0.2 4.7 2.4 2 1 7.7 4.8 2 0.6 4.5 2.5 2 2.3 8.6 3.4 3 1.6 5.9 2 1 0.6 6.3 4.1 2 2.5 8.4 7.7 3 1.6 3.3 4.5 3 1.2 5.8 8.3 2 1.9 9.8 7.8 1 1.2 4.7 2.4 3 1.8 7.7 4.8 3 0.6 4.5 2.5 2 1.3 9.1 3.4 2 1 5.9 2.2 1 1.8 6.3 4.2 3

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