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football_analytics

eddwebster / football_analytics

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📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

data-science awesome analytics soccer football-data awesome-list football opta sports-stats fifa futbol xg sports-analytics soccer-data soccer-analytics transfermarkt football-analytics fbref statsbomb expected-goals
  • Updated Apr 14, 2024
  • Jupyter Notebook

volkansonmez / Exploratory_Data_Analysis_and_ML_Projects

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Several datasets are manipulated, visualized, and analyzed with well-known ML Algorithms to make predictions, clustering, or classifications.

timeseries exploratory-data-analysis pandas data-visualization pytorch seaborn transformer stock-price-prediction data-analysis decision-trees unsupervised-learning librosa lstm-neural-networks kaggle-dataset variational-autoencoder knn-classification xg self-supervised-learning cnn-pytorch keras-tf
  • Updated Sep 2, 2021
  • Jupyter Notebook

daniel-mehta / FPL-Expected-Points

Star 1

Predict Fantasy Premier League (FPL) points using two models: a Random Forest regression (ML_xP.py) and a custom statistical model (xP_FPL.py). This project explores different approaches to predicting player performance, with a detailed comparison for Gameweek 5 of the 2024/25 EPL season.

python data-science machine-learning random-forest fantasy-football predictive-modeling regression-models fantasy-sports fpl fantasy-premier-league fpl-analysis statistical-modeling xg sports-analytics
  • Updated Oct 30, 2024
  • Python

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