intro_to_sklearn.ipynb  1. Comparing normalized vs raw data Using knns with Euclidean distance and 3 nearest neighbors, compare the performance of a knn trained with the raw data vs. a knn trained with the normalized data. First, we need to divide the DataFrames as we did before. []....#TODO []....#TODO Now the actual building, fitting and testing of a knn classifier []..... [].....

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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intro_to_sklearn.ipynb 

1. Comparing normalized vs raw data

Using knns with Euclidean distance and 3 nearest neighbors, compare the performance of a knn trained with the raw data vs. a knn trained with the normalized data.

First, we need to divide the DataFrames as we did before.

[]....#TODO

[]....#TODO

Now the actual building, fitting and testing of a knn classifier

[].....

[].....

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