Feature extraction from given EEG dataset using python
₹1500-12500 INR
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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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Kitambulisho cha Mradi: #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
10 wafanyakazi huru wanazabuni wastani wa ₹7500 kwa kazi hii
Hi, I have +5 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, I absolutely can do your project as you like. Please contact me to discuss more. Have a nice day
Hello, We are a team of professional ML and AI developers who have worked on various models and algorithms before. We have custom built models for most of our clients so that it suits the user's application best. We ca Zaidi
- previous experience in such topics ; - eager to discuss a lot in this chat stream ; - degree stats - maths ;
Hi I have seen your project details. Similar project on EEG I have completed. To discuss further and view my recent project on EEG,Request you to consider me Regards Karthik
I am a Data Scientist with 4+ year experience in Develop and Deploy Machine learning and Deep learning projects both on cloud. I can help you in this. please contact me. Thank you