Data leakage is a hidden threat in machine learning that can cause your model to perform well during training but fail in real-world scenarios. This post explains what data leakage is, how it happens—through target leakage, preprocessing errors, and more—and how to detect and prevent it. Learn key techniques to build reliable ML models and avoid common pitfalls in your data pipeline.