FantasyBaseball

Overview

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.

Instructions

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