Thabks Gabriel for the daily effort I have a question regarding the dataset. I have an EEG dataset without the last column for example in this dataset the stroke column which is 1 or 0. How can I train this kind of dataset ( let's say 32 channels EEG data represents 32 columns only ).
@@Mohamm-ed In that case, you will definitely need a column containing the labels for each EEG reading (each reading must be labeled with 0=no pain/1=pain). Otherwise, there is no way to tell the model if it is correct or not in its prediction.
@@gcdatkin another question sorry for disturbing you. The EEG data is a time series do I need to lable it. I saw a code about sensor array data ut has only the sensors reading and time and then they delete the time and make a model for the sensors readings without labeling the data.
Thank you Sir.
It helped alot in terms of understanding nice explaination.
💯
Nice
Thabks Gabriel for the daily effort I have a question regarding the dataset. I have an EEG dataset without the last column for example in this dataset the stroke column which is 1 or 0. How can I train this kind of dataset ( let's say 32 channels EEG data represents 32 columns only ).
Well, what is it you would like to make predictions about?
@@gcdatkin thanks very much for replying. I want to predict that the person has pain or not.
@@Mohamm-ed In that case, you will definitely need a column containing the labels for each EEG reading (each reading must be labeled with 0=no pain/1=pain). Otherwise, there is no way to tell the model if it is correct or not in its prediction.
@@gcdatkin 🌹🌹🌹 Thanks again.
@@gcdatkin another question sorry for disturbing you. The EEG data is a time series do I need to lable it. I saw a code about sensor array data ut has only the sensors reading and time and then they delete the time and make a model for the sensors readings without labeling the data.