RohanPankaj / NBA-PredictionLinks
The NBA-Predictions Project uses Machine Learning to predict the score of NBA-games and the performance of individual players.
☆11Updated 3 years ago
Alternatives and similar repositories for NBA-Prediction
Users that are interested in NBA-Prediction are comparing it to the libraries listed below
Sorting:
- Using decision tree and random forest models, predict the winner of an NBA regular season game☆14Updated 7 years ago
- Predicts Daily NBA Games Using a Logistic Regression Model☆134Updated 2 years ago
- NBA Three-Point Model for Sports Betting☆20Updated 2 years ago
- Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Ki…☆263Updated 2 years ago
- Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.☆184Updated last year
- Betting on the NBA with data☆149Updated 10 months ago
- A machine learning project to predict moneyline and over/under probabilities for the NBA.☆12Updated 2 years ago
- Apply machine learning to predict English Premier League soccer match.☆62Updated 4 years ago
- Using AI to predict the outcomes of NBA games.☆71Updated this week
- This repository leverages machine learning models to predict the outcomes of NBA regular season games and their final scores. By analyzin…☆13Updated 10 months ago
- A sports data scraping and analysis tool☆90Updated 2 years ago
- Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of …☆41Updated 3 years ago
- A Premier League football dashboard.☆45Updated 3 months ago
- Predicting soccer matches outcomes with machine learning as time series.☆108Updated 3 years ago
- Documentation, guides and articles on creating, developing and implementing automated betting strategies, using data analysis to inform b…☆58Updated this week
- This model predicts and bets on every NBA game in a season.☆16Updated 5 years ago
- This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use o…☆269Updated 5 months ago
- Player-tracking data from NFL Next Gen Stats Highlights.☆57Updated 3 years ago
- Use publicly available data to track NFL betting trends.☆17Updated 10 months ago
- NBA Machine Learning Tools☆79Updated 8 months ago
- The project explores the idea of using different machine learning techniques to determine different stats in NHL games.☆14Updated 2 years ago
- R Package for Sports betting☆76Updated 2 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…☆91Updated 4 years ago
- An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB)…☆28Updated 2 years ago
- Established Bayesian models and leveraged historical data to predict home and away teams’ performance. Achieved over 80% prediction accur…☆19Updated 5 years ago
- Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning predic…☆70Updated 3 years ago
- Scrape Draftkings Sportsbook using Python's Beautiful Soup library and DraftKings' API.☆47Updated 2 years ago
- Model to Predict Over/Under Outcomes for the Upcoming NFL Season☆40Updated 7 years ago
- Used for creating and storing NBA data in a MySQL database☆29Updated 2 years ago
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆43Updated last year