7.5.Model Evaluation - sj50179/IBM-Data-Science-Professional-Certificate GitHub Wiki

Learning Objectives

• Describe data model refinement techniques
• Explain overfitting, underfitting and model selection
• Apply ridge regression to regularize and reduce the standard errors to avoid overfitting a regression model
• Apply grid search techniques to Python data

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• Model Evaluation and Refinement
• Lab 5: Model Evaluation and Refinement