👉 Overfitting is a common problem in machine learning where a model becomes too complex and captures noise or patterns in data that are not present in the training data. This can lead to poor performance on new, unseen data due to overgeneralization. In other words, overfitting occurs when a machine learning model's predictions become better and better as it is trained on more and more examples. The problem arises because the model may end up fitting the noise or patterns in the training data too tightly that
