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matusv/ml_project
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- make_features_teams.py (creates team oriented features) - make_features_players.py (creates player oriented features) - visualize_features.py (shows 3d scatter plot of the test and train set) - tpot_train.py (tpot finds a ML model,runs for ~20-30 mins) - tpot_pipeline.py (ml model found by tpot) - tpot_pipeline2.py (ml model found by tpot) - nn_classifier.py (neural network classifier from tensorflow) - nn_regressor.py (neural network regressor built with tflearn) - nn_regressor_gridsearch.py (search for neural network parameters)
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