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I am wondering what is the difference between normalization and feature scaling and usually when working on a machine learning project what comes normalization or feature scaling.

Also, it would be nice if somebody can post the sckit-learn library function for normalization and feature scaling ?
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Please take a look at this article that answers most of your questions. I will try to highlight the differences as soon as possible by updating this post.

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