constancedongg / Horse-Racing
Use various machine learning algorithms to predict horse racing results.
☆24Updated 5 years ago
Alternatives and similar repositories for Horse-Racing
Users that are interested in Horse-Racing are comparing it to the libraries listed below
Sorting:
- A fully functional automated horse racing trading system for betfair in python. Collects data, uses a neural network to analyse the data,…☆110Updated 4 years ago
- Betting on the NBA with data☆147Updated 4 months ago
- Workbook to interpret historical data purchased from Betfair by offering a means for download, display and analysis with Excel.☆17Updated 5 years ago
- A repo of the Data Scientist team's open source predictive models.☆109Updated 3 years ago
- Using machine learning to predict HK Horse racing results☆57Updated last year
- Python implementation of Shin's method for calculating implied probabilities from bookmaker odds☆83Updated last month
- A random forest model that generate profit of $40K in 3000 races based on 10000+ horse-racing records with 98 raw features☆27Updated 3 years ago
- Documentation, guides and articles on creating, developing and implementing automated betting strategies, using data analysis to inform b…☆53Updated this week
- A collection of python scripts to collect, clean and visualise odds for football matches from Betfair, as well as perform machine learnin…☆29Updated 8 years ago
- We present a way to incorporate bets' potential profit into a neural network classifier model using a custom loss function. We believe th…☆85Updated 3 years ago
- Predicting soccer matches outcomes with machine learning as time series.☆103Updated 2 years ago
- NBA game prediction model☆16Updated 4 years ago
- MLB-Machine-Learning-Sports-Betting☆18Updated 2 years ago
- Map Betfair selection IDs to runner names, market IDs to competition names, etc.☆11Updated 9 months ago
- Predicts Daily NBA Games Using a Logistic Regression Model☆130Updated 2 years ago
- The generalised Kelly Criterion (a.k.a. The Real Kelly) for concurrent events.☆12Updated 5 years ago
- statistical-arbitrage-for-sports-betting☆180Updated last year
- Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.☆175Updated 9 months ago
- Model to Predict Over/Under Outcomes for the Upcoming NFL Season☆38Updated 6 years ago
- NBA Three-Point Model for Sports Betting☆16Updated 2 years ago
- Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of …☆32Updated 3 years ago
- The project explores the idea of using different machine learning techniques to determine different stats in NHL games.☆13Updated last year
- ☆182Updated 7 years ago
- Scrape PGA Tour data for historical scores and finishes☆15Updated 2 years ago
- A collection of R scripts for modelling sports.☆26Updated last year
- Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Ki…☆257Updated last year
- ☆110Updated 8 years ago
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆36Updated 10 months ago
- A quick and dirty way to pull various cuts of data from the incredible NCAA Basketball advanced stats website KenPom☆11Updated 5 years ago
- Using regression models to inform NBA prop betting strategy.☆12Updated 3 years ago