A python app that automatically collects, preprocesses game data and generates real-time predictions for Counter-Strike: Global Offensive competitive matches
Predicts Sports Winner Team
NBA player performance prediction using ensemble machine learning models (XGBoost, LightGBM, Random Forest, CatBoost) with contextual factors including injuries, rest days, travel, altitude, and defensive matchups.
A pretty comprehensive analysis of EL data from the EL API
Predicting the 2021 NHL season with the use of data from the NHL API, and an extremely randomized trees model.
A simple tennis prediction neural network model (68% accuracy)
ML-Premier-League-Wins-Predictor is my first machine learning project that predicts the number of wins for each team in the Premier League using linear regression. Explore the key factors that contribute to becoming a champion in one of the world's most competitive football leagues. Jupyter Notebook and code included.
⚽ AI-powered football prediction system combining ML models and Groq Llama 3.3 70B for intelligent match analysis | 結合機器學習與大型語言模型的智能足球預測平台
Utilizing python to scrape Basketball data from NCAA and NBA as well as NHL data.
ML model that predicts F1 race outcomes using real-time qualifying, weather and driver form data
Predicting the winner of English Premier League soccer matches based on data from previous match results
CIPS is a regression-based ML model that predicts the final score of a cricket team batting second in limited-overs matches (like IPL). Using live match data (overs left, wickets fallen, run rate, etc.).
a data anlysis system to predict max verstappen performance in f1
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