Summary
Keywords
Full Transcript
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
