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• db5cf0b2a8 Better visualizations master tcsenpai 2024-09-11 10:12:56 +02:00
• aec7171ed9 fixed a plotting problem tcsenpai 2024-09-11 09:36:49 +02:00
• 65ce172f3f Implement early stopping to enhance model accuracy and prevent overfitting tcsenpai 2024-09-11 00:48:56 +02:00
• 7bcc3556ad Add dropout layers to LSTM and GRU models to reduce overfitting tcsenpai 2024-09-11 00:46:28 +02:00
• 9bb011e52e - Implemented data augmentation function augment_data() to increase training data diversity. - Added L1 and L2 regularization to LSTM and GRU models to reduce overfitting. tcsenpai 2024-09-11 00:35:46 +02:00
• 9bac92702f Implement anti-overfitting measures for stock prediction model tcsenpai 2024-09-11 00:14:30 +02:00
• 40ff61ae11 updated screenshot tcsenpai 2024-09-10 20:49:24 +02:00
• c414661e56 - Implemented early stopping for LSTM and GRU models to prevent overfitting - Added feature selection using SelectKBest with f_regression - Introduced ensemble weighting based on validation performance - Implemented a function to calculate and display overfitting scores - Added more regularization parameters for Random Forest and XGBoost in hyperparameter tuning tcsenpai 2024-09-10 20:38:54 +02:00
• 1c9500e29a - Improved LSTM and GRU architectures for better efficiency. - Implemented early stopping for neural networks to prevent overfitting. - Added more technical indicators for enhanced feature engineering. - Introduced a weighted ensemble method for combining model predictions. - Implemented a simple trading strategy based on predictions. - Enhanced visualization to include trading strategy performance. tcsenpai 2024-09-10 19:26:35 +02:00
• fab6ef4283 updated example image tcsenpai 2024-09-10 19:10:32 +02:00
• 4c090cbd4a updated usage instructions tcsenpai 2024-09-10 18:43:02 +02:00
• ac3c2b396d first commit tcsenpai 2024-09-10 18:36:17 +02:00