data-engineer-pro video for you're developing a deep learning model to estimate the likelihood that customers will make a purchase on your e-commerce platform.
You're developing a deep learning model to estimate the likelihood that customers will make a purchase on your e-commerce platform. After evaluating the model, you notice signs of overfitting. What’s the best strategy to improve the model’s performance on unseen (new) data?