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bkavlak
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Mar 28, 2022
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there is good answer from @beyzanurakdeniz
- Normalization is really affected by outliers, because we use min and max values to shape our data. But standardization isn't affected by outliers that much, because we use mean and standart deviation.
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See this video for the logic behind:
https://www.youtube.com/watch?v=CbsegCURCd0
The answer is correct but I'm not sure if the gist behind is understood here. This is a good explanation:
https://stackoverflow.com/questions/49147774/what-is-random-state-in-sklearn-model-selection-train-test-split-example#:~:text=If%20you%20don%27t,and%20test%20datasets.
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