A Realtor in Massachusetts is analyzing the relationship between the sale price of a home (in $), it’s the square footage (in ft2), the number of bedrooms, the number of b
URGENT NEED TO DONE 3 HOURS
A Realtor in Massachusetts is analyzing the relationship between the sale price of a home (in $), it's the square footage (in ft2), the number of bedrooms, the number of bathrooms, and a colonial dummy variable (colonial equals 1 if a colonial-style home; 0 otherwise). The relater collects data of 36 sales in Massachusetts for the analysis. The attached file “Assignment – Dataset 2” contains the data.
Address the following questions:
a) Develop a Neural Network (NN) prediction model for the sales price (Number of layers = 3, dense layers, activation function of “Relu”, number of nodes in each layer = 32).
b) Predict the price of 2100 ft2 colonial style home with two bedrooms and two bathrooms.
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.
Arlington
Price | Sqft | Beds | Baths | Col |
840000 | 2768 | 4 | 3.5 | 1 |
822000 | 2500 | 4 | 2.5 | 1 |
713000 | 2400 | 3 | 3 | 1 |
689000 | 2200 | 3 | 2.5 | 1 |
685000 | 2716 | 3 | 3.5 | 1 |
645000 | 2524 | 3 | 2 | 1 |
625000 | 2732 | 4 | 2.5 | 0 |
620000 | 2436 | 4 | 3.5 | 1 |
587500 | 2100 | 3 | 1.5 | 1 |
585000 | 1947 | 3 | 1.5 | 1 |
583000 | 2224 | 3 | 2.5 | 1 |
569000 | 3262 | 4 | 2 | 0 |
546000 | 1792 | 3 | 2 | 0 |
540000 | 1488 | 3 | 1.5 | 0 |
537000 | 2907 | 3 | 2.5 | 0 |
516000 | 1951 | 4 | 2 | 1 |
511000 | 1752 | 3 | 1.5 | 1 |
510000 | 1727 | 3 | 2 | 1 |
495000 | 1692 | 3 | 2 | 0 |
463000 | 1714 | 3 | 2 | 0 |
457000 | 1650 | 3 | 2 | 0 |
451000 | 1685 | 3 | 2 | 0 |
435000 | 1500 | 3 | 1.5 | 1 |
431700 | 1896 | 2 | 1.5 | 0 |
414000 | 1182 | 2 | 1.5 | 0 |
401500 | 1152 | 3 | 1 | 0 |
399000 | 1383 | 4 | 1 | 0 |
380000 | 1344 | 4 | 2 | 0 |
380000 | 1272 | 3 | 1 | 0 |
375900 | 2275 | 5 | 1 | 0 |
372000 | 1005 | 2 | 1 | 0 |
367500 | 1272 | 3 | 1 | 0 |
356500 | 1431 | 2 | 2 | 1 |
330000 | 1362 | 3 | 1 | 0 |
330000 | 1465 | 3 | 1 | 0 |
307500 | 850 | 1 | 1 | 0 |
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