callmevojtko / Recommended-Bets-By-Email-MLBLinks
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
☆28Updated 2 years ago
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
Sorting:
- MLB-Machine-Learning-Sports-Betting☆18Updated 3 years ago
- Scrape Draftkings Sportsbook using Python's Beautiful Soup library and DraftKings' API.☆47Updated 2 years ago
- Using AI to predict the outcomes of NBA games.☆73Updated last month
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆43Updated last year
- Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.☆185Updated last year
- Inefficient markets allow investors to consistently outperform the market. In order to demonstrate that inefficiencies exist in sports be…☆10Updated 7 years ago
- R Package for Sports betting☆76Updated 2 years ago
- Combine classification algorithms to predict the winner of each game☆28Updated 6 years ago
- Training a neural net to predict betting odds for a baseball game at any stage in the game.☆12Updated 2 years ago
- Machine learning model that predicts the outcome of NHL and NBA games, determining the probability of teams winning and point spreads.☆13Updated 8 months ago
- System that calculates and uses algorithms to predict the outcome of NBA, NHL, and MLB sports games.☆104Updated 5 years ago
- Betting on the NBA with data☆149Updated last year
- An R package to quickly obtain clean and tidy college football play by play data☆93Updated 2 months ago
- Goals Above Replacement and Elo Rating data for NHL history.☆23Updated 8 months ago
- Predicts Daily NBA Games Using a Logistic Regression Model☆133Updated 3 years ago
- The project explores the idea of using different machine learning techniques to determine different stats in NHL games.☆14Updated 2 years ago
- sportsdataverse python package☆94Updated last week
- A simple yet comprehensive web scraper for kenpom.com.☆80Updated last month
- A package containing the essential math required for sports betting and gambling.☆291Updated 5 years ago
- All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.☆68Updated 9 months ago
- Sports Betting Tools☆17Updated 5 years ago
- An R Shiny app to help make betting decisions for FanDuel player props☆22Updated 3 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…☆35Updated 5 years ago
- Archive of NBA Elo data (updated from FiveThirtyEight version)☆13Updated 8 months ago
- An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metr…☆38Updated last year
- Using machine learning to predict the outcome of NBA games.☆39Updated last year
- ⚽ High-performance football analytics toolkit: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by…☆129Updated this week
- Predicting soccer matches outcomes with machine learning as time series.☆109Updated 3 years ago
- Collection of sports betting AI tools.☆642Updated last week
- 1st Annual Best Ball Data Bowl!☆24Updated 2 years ago