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kochlisGit / ProphitBet-Soccer-Bets-Predictor

Star 32

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks and Random Forests.

statistics deep-neural-networks neural-network random-forest pandas-dataframe machine-learning-algorithms soccer data-visualization seaborn football-data predictions soccer-matches imbalanced-learning feature-importance soccer-betting optuna feature-analysis imbalanced-learn interpretability-methods upcoming-games
  • Updated Nov 12, 2022
  • Python

Simeonedef / Time-Series_Imaging_Forecasting

Star 14

In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.

deep-learning series convolutional-layers matplotlib eth-zurich predictions ethz convolutional-lstm time-series-forecasting tensorflow2 conv-lstm holt-winter conv-mlp lstm-architecture
  • Updated Jun 22, 2022
  • Python

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