Debugging and Improving Machine Learning Models

A specific course within Cornell's Machine Learning Certificate program that focuses on investigating the prediction accuracy of machine learning algorithms. You will learn to recognize high bias and variance to reduce prediction errors and implement techniques like bagging and boosting to create more reliable models.