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This course introduces K-nearest neighbour methods for classification and regression, with attention to accuracy, consistent hypotheses, and underfitting.
Syllabus
Intro
Recap
Classification and Regression
Classification Example
Classification Examples
Classification vs Regression
Machine Learning
Consistent Hypothesis
Nearest Neighbour
Knearest Neighbour
Accuracy
Underfitting
Taught by
Pascal Poupart