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Outline:Introduction to K Nearest Neighbor Regression Various distance metrics used in KNN Importing the necessary libraries Loading the iris dataset Standard scaling of the dataset Train and Test Split of dataset Choosing the K value using elbow method KNN regression model building Model prediction and outcome Evaluation using MSE and Adjusted R squared score
Introduction to K Nearest Neighbor Regression Various distance metrics used in KNN Importing the necessary libraries Loading the iris dataset Standard scaling of the dataset Train and Test Split of dataset Choosing the K value using elbow method KNN regression model building Model prediction and outcome Evaluation using MSE and Adjusted R squared score
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