Lecture 4: Linear Regression, kNN Regression and Inference

Key Word(s): Linear Regression, k-Nearest Neighbors (kNN) Regression, Model Fitness, R-squared (R2), Root Mean Squared Error (RMSE), Mean Squared Error (MSE), Bootstrap



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