GitHub - Marissa1999/Machine-Learning-Project: This project conducts a comparative analysis of CNN architectures to enhance the classification of motor imagery patterns in EEG signals for improved brain-computer interface performance.

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This project conducts a comparative analysis of CNN architectures to enhance the classification of motor imagery patterns in EEG signals for improved brain-computer interface performance.

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Name		Name	Last commit message	Last commit date
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40203478_Machine_Learning_Project.ipynb		40203478_Machine_Learning_Project.ipynb
Best_Model_1.png		Best_Model_1.png
Best_Model_2.png		Best_Model_2.png
EEGNet_Accuracy_Graphs.png		EEGNet_Accuracy_Graphs.png
Experiment_FirstCNN_Accuracy_Graphs.png		Experiment_FirstCNN_Accuracy_Graphs.png
Model_1_Accuracy.png		Model_1_Accuracy.png
Model_1_Optimization_Accuracy.png		Model_1_Optimization_Accuracy.png
Model_2_Accuracy.png		Model_2_Accuracy.png
Model_3_Accuracy.png		Model_3_Accuracy.png
Optimization_FirstCNN_Accuracy_Graphs.png		Optimization_FirstCNN_Accuracy_Graphs.png

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This project conducts a comparative analysis of CNN architectures to enhance the classification of motor imagery patterns in EEG signals for improved brain-computer interface performance.

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