This project aims to set a prediction model to forecast GSW final game score according to half-time box score. The whole process is automated and need to be luanch on a virtual machine.
GSW.ipynb is the code for scraping data, data pipeline, and model in Python.
GSW_point_diff_prediction_using_halftime.R is for researching on data distribution and model selecting.