• OS: Windows & MacOS & Linux-Ubuntu / RAM: 16GB

• Python == 3.7x version

• Pycharmproject / Jupyter Notebook

• beautifulsoup4==4.9.1

• bs4==0.0.1

• joblib==0.16.0

• Keras==2.4.3

• lightgbm==3.0.0

• numpy==1.19.2

• pandas==1.1.2

• selenium==3.141.0

• scikit-learn==0.23.2

• tensorflow==2.3.0

0. Run (preprocess.py) and preprocess the raw_data to Input data for later use. (The py adds the features and the crawled data from 2020-07-21 ~ 2020-09-27)

1. Run train.py. (It will form the rnn model for the 1st phase and the ligthgbm model for the 2nd phase. It will save the MinMax and scaling model as well.)

2. Run predict.py (It will create prediction.csv in the result folder)

3. The final predcition values are the mean of 5 different prediction runs.

** After creating a Virtual Environment, install the pips in requirements.txt. (type 'pip install -r requirements.txt'!)

#(For Linux)
# Go to the directory where you will run the codes and make a Virtual Enviroment withe the name venv.
python3 -m venv venv

# Run the Virtual Environment 
source bin/activate

# After running the Virtual Environment, install the pips.
pip3 -r install requirements.txt


# ** How to deactivate the Virtual Environment
source deactivate

** The Korean players who were traded after July 19th and the foreign players who joined the team after July 19th were registered separately.

2020 99999 Palka SS
2020 99998 Russell WO
2020 99997 White SK

2020 63950 Hyunshick Jang HT
2020 64984 Taejin Kim HT
2020 65643 Kyungchan Moon NC
2020 65639 Jungsoo Park NC
2020 63634 Honggu Lee KT
2020 60558 Taegon Oh SK

Copyright by Jin Young Kim, Young Mok Byon, Kyung Hwan Lee, Gi Bong Hong