- A direct implementation of hand strength estimation, hand potential, and effective hand strength functions for hands in No-Limit Hold’em (NLH) poker using enumeration methods in Python (information taken from this paper)
- Developed Monte Carlo simulation-based functions for preflop hand analysis with a 3% margin of error and generated visualizations to display results
- The Deuces library has been used for for game simulation, hand evaluation etc.
Refer to
poker_report.pdffor comprehensive information on all of the material and explanation of the code written for this project
-
Notifications
You must be signed in to change notification settings - Fork 0
Deployed Application - Implemented hand strength estimation, hand potential, and effective hand strength functions for NLH poker. Also, created Monte Carlo functions for preflop hand analysis.
Koda7/Poker_Analytics
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Deployed Application - Implemented hand strength estimation, hand potential, and effective hand strength functions for NLH poker. Also, created Monte Carlo functions for preflop hand analysis.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published