Data Science and Machine Learning (Theory and Projects) A to Z - Hands-on Machine Learning Project Using Scikit-Learn: C

The video tutorial discusses model selection, focusing on the degree of polynomial as a hyperparameter. It explains how cross-validation can help determine the best model by iterating over different polynomial degrees. The tutorial demonstrates data generation, implementation of cross-validation using scikit-learn, and plotting of training and validation scores. It also explores the impact of different cross-validation splits on model performance. The video concludes with a brief mention of the next topic, face recognition.

What new insight or understanding did you gain from this video?

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