I have a lot of datasets with different shapes. For example few of them are (90, 892), (74, 853), (93, 765), ... etc.

I want to convert this shape to (90, 4), (74, 4), (93, 4) ... (x, 4). And, after this I will pass the updated data to a quantum machine learning model with 4 qubits and wires.

I want to transform the entire data into the above mentioned shape rather than splitting the data into train and test.

Do I need to use dimensionality reduction techniques for getting the expected result? If yes, what technique do I need to follow.

Any sample code will be really helpful

Thanks in advance



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