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This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

Python 100.00%
machine-learning supervised-learning knn-classification svm-classifier eeg-classification deap-dataset

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eeg-based-emotion-analysis-using-deap-dataset-for-supervised-machine-learning's Issues

Where did you get features_sampled.dat file?

Hi, where did you get the features_sampled.dat file? Currently I'm doing a Thesis paper on DEAP dataset and I found your repository code useful. But I am not understanding where you got features_sampled.dat that you called to open in FeaturesSampled.py

No Signal Analysis on Dataset done

This dataset needs to be first converted in time or frequency domain and many more things for further analysis. Treated like normal datasets.

Dataset Request

I have benn apply for the DEAP dataset a few day before. But I did not get any reply. I wish you cloud share the Dataset in this project. You could contact me with e-mail address [email protected]. hope your reply

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