callmevojtko / Recommended-Bets-By-Email-MLB
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
☆20Updated last year
Alternatives and similar repositories for Recommended-Bets-By-Email-MLB:
Users that are interested in Recommended-Bets-By-Email-MLB are comparing it to the libraries listed below
- MLB-Machine-Learning-Sports-Betting☆16Updated 2 years ago
- Scrape Draftkings Sportsbook using Python's Beautiful Soup library and DraftKings' API.☆44Updated last year
- Training a neural net to predict betting odds for a baseball game at any stage in the game.☆9Updated last year
- Sports Betting Tools☆14Updated 4 years ago
- Predict Major League Baseball games (win/loss) with machine learning☆15Updated 6 years ago
- A command-line baseball simulator in Python. Choose two MLB teams from any year with historically accurate rosters, and watch them go hea…☆33Updated 4 years ago
- sportsdataverse python package☆86Updated last month
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆32Updated 8 months ago
- An R Shiny app to help make betting decisions for FanDuel player props☆20Updated 2 years ago
- Web scraper that finds the best MLB value bet across 4 popular sports betting websites☆10Updated 2 years ago
- An algorithmic web scraper for identifying positive EV sports bets, complete with historical betting data and notifications.☆17Updated last year
- Using machine learning to predict the outcome of NBA games.☆21Updated 7 months ago
- R Package for Sports betting☆69Updated last year
- The project explores the idea of using different machine learning techniques to determine different stats in NHL games.☆12Updated last year
- This model predicts and bets on every NBA game in a season.☆15Updated 4 years ago
- An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metr…☆34Updated last year
- Combine classification algorithms to predict the winner of each game☆26Updated 5 years ago
- NBA player prediction model for use in daily fantasy sports☆15Updated 5 years ago
- A package to parse NBA play by play pandas dataframes and calculate statistics☆16Updated 2 years ago
- Python code samples for The Odds API☆75Updated last month
- A Simple Simulator for estimating NBA game outcomes☆34Updated 6 years ago
- Using AI to predict the outcomes of NBA games.☆44Updated 2 months ago
- Using regression models to inform NBA prop betting strategy.☆11Updated 2 years ago
- Model created for FiveThirtyEight Forecast Competition☆30Updated 2 years ago
- A simple yet comprehensive web scraper for kenpom.com.☆77Updated 4 months ago
- Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.☆171Updated 7 months ago
- Goals Above Replacement and Elo Rating data for NHL history.☆22Updated this week
- ☆12Updated 3 years ago