100 Days of Machine Learning | CampusX - Feature Scaling - Standardization | Day 24 | 100 Days of Machine Learning

Standardization transforms numerical features to have a mean of 0 and a standard deviation of 1, aiding in comparing and interpreting features with different scales. Code used : https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day24-standardization ============================ 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 01:10 - What is feature scaling? 02:16 - Why do we need feature scaling? 04:58 - Types of feature scaling 06:00 - Standardization - Intuition 13:55 - Code Example and Impact of Outliers 23:20 - Why scaling is important? 28:22 - When should you use Standardization?