This repository contains notebooks that explore the use of pybaseball data and sklearn algorithms to create a regression model that predicts fantasy points for a given day.
Create a Python 3.6 virtual environment:
virtualenv -p python3 venv
. venv/bin/activate
Install the required packages:
pip install -r requirements.pip
./install.sh
Start Jupyter to access, run, and modify the notebooks:
jupyter notebook