There are two main parts in this project, regression generator and real price predictor.

python3 regression_generator.py [dataID]

You can generate regression information and find the result in folder regression_resutlt.

The argument dataID is optional. Its default value is 5365dee31bc6e9d9463a0057.
If you want to use your own data, you have to enter the ID that DataGarage generated.
Note that your data must have the same format as default data's.

python3 real_price_predictor.py

Enter the value as interactive shell ask, and you'll get the predicted price.
If the regression functions have not been genterate, it will automatically generate through default data.

python3 libraries : numpy, statsmodels
You sholud install some other packages before install statsmodels.
All the instructions are below.

brew install gfortran
pip3 install -r requirements.txt

sudo apt-get install libatlas-base-dev gfortran
sudo pip3 install -r requirements.txt

• note that openpyxl whose version is not in between 1.6.1 and 2.0.0 would be incompatible to some of the other libraries. (This is handled int requirements.txt)

cd tmp
git clone https://github.com/statsmodels/statsmodels.git 
cd statsmodels
python3 setup.py build
sudo python3 setup.py install

[Slideshare] (http://www.slideshare.net/ssuser5e1963/toc-proj-forslideshare)

[WemyJu] (https://github.com/WemyJu)
[Lee-W] (https://github.com/Lee-W/)

MIT