EEG Based Emotion Analysis Using DEAP Dataset For Supervised Machine Learning Resources Save

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.

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