Feature Scaling - Normalization | MinMaxScaling | MaxAbsScaling | RobustScaling
Channel: CampusX
Date: 2021-04-10

Normalization, also known as Min-Max Scaling, is a technique that brings numerical features to a standard scale, preventing certain features from dominating others in the model.

Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day25-normalization

============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in/s/store
============================

📱 Grow with us:
CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official
CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official
My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789
Discord: https://discord.gg/PsWu8R87Z8
Instagram: https://www.instagram.com/campusx.official
E-mail us at support@campusx.in

⌚Time Stamps⌚

00:00 - Intro
00:30 - What is Normalization
03:20 - MinMaxScaling Intuition
08:15 - Code Example
14:43 - Mean Normalization
16:52 - MaxAbsScaling
18:20 - Robust Scaling
20:15 - Normalization vs Standardization