I'm currently working on a machine learning assignment, and I'm running into trouble with overfitting—my model performs great on the training data but terribly on the test set. I’ve tried techniques like cross-validation and regularization, but I still can't get the results I need.

Has anyone here faced similar issues in their machine learning homework? What are some practical tips to avoid overfitting, especially when dealing with small datasets?

Also, I’m considering using machine learning assignment services to get expert advice. Are there any reliable machine learning homework experts or online machine learning assignment help platforms that you’d recommend? I’ve seen some based in the USA like machine learning homework help USA, but I'm not sure which one is legit.

Would love to hear your experiences or any guidance you can share!