What are the differences between overfitting and underfitting in the context of machine learning models? How can you prevent these issues?

Overfitting and underfitting are common issues in machine learning models that affect their ability to generalize well to new, unseen data.

Overfitting occurs when a model learns not only the underlying patterns in the training data but also...