Feature Engineering involves creating new features or modifying existing ones to improve a model’s performance, helping capture hidden patterns in the data.
============================
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
01:05 – What is feature Engineering?
04:05 – Classifying feature Engineering
06:19 – Missing Values Imputation
08:10 – Handling Categorical Values
09:56 – Outlier Detection
11:30 – Feature Scaling
13:57 – Feature Construction
16:40 – Feature Selection
20:12 – Feature Extraction
source
