Deep Learning to predicate PM 10, 2.5 of China(Beijing) and South Korea(Seoul).

Deep Learning PM 10

A simple Neural networks model
changechina4567seoul7 is China's PM2.5 Data (2014~2017) with Korea's PM10 Data(2017)
I can't found China's PM10 Data so I used PM2.5 Data
Korea PM10 Data was from http://cleanair.seoul.go.kr/main.htm
China PM2.5 Data was from http://www.stateair.net/web/historical/1/1.html

GETTING STARTED:

To compile the project on your own machine follow this steps:

Open DeepLearning-PM10.py
Just run Python.
You can change file between seouldata134567.svc and changechina4567seoul7.svc ex) seouldata134567.svc can predict 2017 data by Learning 2013~2016
Using this, you can guess China's air condition influence on Korea ex) Compare China 14~~17 with predict Seoul 17 to china 14~~17 with predict Seoul 17 (You have to make 2days term, that is moving time of PM10 from Beijing China to Seoul Korea)

SOFTWARE REQUIREMENTS FOR COMPILING:

OS: Windows 7/8/10
Python 3.6

LICENSE:

https://github.com/astral2156