📏 Generic feature scaling methods

Feature scaling is a method used to normalize the range of variables or features of data. In data processing, it is also known as data normalization and is usually performed during the data preprocessing step.

If you are using Linux or macOS, you need to install Rust using rustup:

curl https://sh.rustup.rs -sSf | sh

For installation on Windows, read the instruction in rust-lang book.

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• Apache License, Version 2.0 (LICENSE-APACHE or http://apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

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