hello, thank you for sharing this series. I'm new to ML stuff. I have a question. After having the raw dataset and going through the training, if the result model is not up to our expectation, which part we need to tune up? Or do we just change the method?
hello, thank you for sharing this series. I'm new to ML stuff. I have a question. After having the raw dataset and going through the training, if the result model is not up to our expectation, which part we need to tune up? Or do we just change the method?
Thank you that is very helpful. Is there any chance if you can share the code samples?
Please use the GitHub link in the description to get the Python codes.