Overfitting is a common challenges in machine learning that occurs when a model learns the noise in the training data instead of capturing the actual patterns. This results in high accuracy on training data but poor performance on unseen data. Overfitted models fail to generalize well, leading to inaccurate predictions. In this blog, we will…