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In this video, we'll be discussing the concept of overfitting in machine learning. Overfitting occurs when a model is too complex and fits the training data too well, resulting in poor generalization to new data. This can lead to inaccurate predictions and a lack of robustness in the model. We'll delve into the causes of overfitting and the ways to prevent it. This video will give you a better understanding of how to avoid overfitting in machine learning projects. Whether you're a beginner or an experienced data scientist, this video is a must-watch if you want to improve your model's performance.