https://github.com/dreeseaw/baseballnodes

Using data from baseballreference.com to analyze baseball game outcomes with machine learning. Personal Project
https://github.com/dreeseaw/baseballnodes

Last synced: 7 months ago
JSON representation

Using data from baseballreference.com to analyze baseball game outcomes with machine learning. Personal Project

• Host: GitHub
• URL: https://github.com/dreeseaw/baseballnodes
• Owner: Dreeseaw
• License: mit
• Created: 2017-05-03T03:32:47.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-07T22:06:22.000Z (over 8 years ago)
• Last Synced: 2025-01-30T13:27:14.726Z (9 months ago)
• Language: Python
• Homepage:
• Size: 283 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

README

          
# Baseball Nodes

Using data from baseball-reference.com to anaylze baseball game day-to-day outcomes in real time. Uses the Naive Bayes machine learning tool to 'test' the team in the database against any other team, home or away, day or night, etc. UI is all through Python IDLE.

Written in Python 3.6, still in developement, so expect bugs.

To change the database:

-go to baseball-reference.com

-go to your team's page and go to Schedule and Results

-go down to the day-by-day schedule and select "Share & more"

-click "Get table for CSV (for Excel)". Copy all the info (ALL) and replace

it in rawDataNats.txt

To use:

-download all .py and .txt data files

-run baseballNodes.py