Sometime in our life, we have huge investment to do
and it is useful to take few hours to investigate instead of waiting commercial
advisor that the aim is to earn money on you because either you are ignorance
or you hurry to invest on what you need to do. Suppose you are selling your
house and you want to know what a good market price would be. This article’s
aim is to open your mind about what you can do to save money (buyer) or earn money
(seller) if you decide to buy or sell your house.
First step: collect information on recent houses sold in your
region.
size of the house
(square feet)
|
number of bedrooms
|
Price (US$)
|
2104
|
3
|
399900
|
1600
|
3
|
329900
|
2400
|
3
|
369000
|
1416
|
2
|
232000
|
3000
|
4
|
539900
|
1985
|
4
|
299900
|
1534
|
3
|
314900
|
1427
|
3
|
198999
|
1380
|
3
|
212000
|
1494
|
3
|
242500
|
1940
|
4
|
239999
|
Source: housing prices in Portland, Oregon
The first column is the size of the house (in square
feet), the second column is the number of bedrooms, and the third column is the
price of the house.
Dataset visualization.
Second
step: download octave software
and install it on your laptop or desktop.
Third step: download the program, modify parameters and execute
it in your octave.
The parameters of the program are the location of your
raw file, Number of bedroom in your house and the size.
Last step: take your conclusion.
The model
predicts the price of a house (1650 square feet, 3 bedrooms) to US$293081.4634.
Meantime, someone who has 1650 square feet and 4 bedrooms the predicted price
is US$284343.445.
If you
need the code of the program you can contact me


No comments:
Post a Comment