Using Min Max Scaler to scale features | Machine Learning

Rachit Toshniwal
Rachit Toshniwal
15.6 هزار بار بازدید - 4 سال پیش - In this tutorial, we'll look
In this tutorial, we'll look at Min Max Scaler, a type of feature scaling technique for linear Machine Learning models.

In the tutorial, we'll be going through all the nitty-gritties of Min Max Scaler, when to use them, when NOT to use them, how is it helpful, how is it NOT so helpful etc etc.

0:00 Intro
3:24 Python code

Feature scaling is so important that your model performance could shoot up by many a percentage points if you use the correct feature scaling techniques.

In a nutshell, Min Max Scaler works by subtracting the minimum value, and dividing by the difference between the max and min values  in a particular feature for each observation so as to scale the values to be in a range of 0 and 1 always.

I've uploaded all the relevant code and datasets used here (and all other tutorials for that matter) on my github page which is accessible here:

Link:

https://github.com/rachittoshniwal/ma...

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Thank you!
4 سال پیش در تاریخ 1399/05/02 منتشر شده است.
15,641 بـار بازدید شده
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