It seems like transfer learning is only applicable to neural networks. Is this a correct assumption?
While I was looking for examples of Transfer Learning, most seemed to be based on image data, audio data, or text data. I was not able to find an example of training a neural network on numerical data.
I want to use transfer learning in this particular scenario: I have a lot of numerical data from an old environment, with binary classification labels, and utilizing this, want to train on a new environment to do the same binary classification.
The dataset would look something like this
Is this possible? What would the model look like?