Feature extraction from given EEG dataset using python

I am currently working on EEG signals and done most of the programming for classification. I am confused over getting features from raw data for linear and non linear features. Linear features include alpha, beta, delta, theta, all bandpower, alpha asymmetry, beta asymmetry, delta asymmetry, theta asymmetry and non-linear features include DFA, CD, approximate entropy, sample entropy, wavelet entropy and relative wavelet energy. This features are needed to be form a accuracy table using different classification methods, which I have already done. You just need to extract this features from the raw data and represent the accuracy table. I will send you my work and detailed instruction in the attachment.

This contains my code and dataset

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Aptitudini: Python, Arhitectură software, Machine Learning (ML)

Despre client:
( 0 recenzii ) Ranchi, India

ID Proiect: #32549537

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Hi, I am Ibrahim, and I am a data scientist, I can help you in evaluation and feature extraction, I have worked with EEG dataset in the past, so I have some idea how this goes. Regards, Ibrahim Anjum

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