I have a group of around 900 signals of three classes, which are required to be classified using machine learning methods, compare them and then find the best model. Machine Learning, Deep Learning, [login to view URL] methods.
Each signal has around 0.5 million samples each.
There is a requirement of giving detailed explanations/notes/reasons etc.
I have to suggest the best computationally cost-effective and most accurate method.
I will give the signals and annotation data interested person can get in touch with me.
Need the code clearly explained/ commented for easy explaination and output and a report in word file.
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Hi, I am a expert in the signal processing and deep learning techniques for signal classification. You can check my profile via my name on google scholar. Nice to hear from you! Best regards,