100 Days of Machine Learning | CampusX - Feature Scaling - Normalization | MinMaxScaling | MaxAbsScaling | RobustScaling

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 [email protected] ⌚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