Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Over

The video tutorial discusses the importance of evaluating machine learning model performance on unseen data to ensure generalization and avoid overfitting. It explains the process of splitting data into training and test sets, emphasizing the need for a balance between the two to achieve reliable performance metrics. The tutorial also highlights the significance of using test data to assess model performance before deployment in real-world scenarios.

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