Lectures related to Stock Return Prediction

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Explores overfitting, regularization, and cross-validation in machine learning, emphasizing the importance of model complexity and different cross-validation methods.

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Introduces the fundamentals of statistical learning, covering supervised learning, decision theory, risk minimization, and overfitting.