Feature Selection in Machine Learning: Easy Explanation for Data Science Interviews

Questions about Feature Selection commonly appear in data science interviews. In this video, I’ll cover the usefulness of feature selection, how to use feature selection with over 10,000 features, how to calculate feature importance, and the pros and cons of various selection methods! 🟢Get all my free data science interview resources https://www.emmading.com/resources 🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case-cheat-sheet 🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-interview-cheat-sheet 🟣 Behavioral Interview Cheatsheet https://www.emmading.com/behavioral-interview-cheat-sheet 🔵 Data Science Resume Checklist https://www.emmading.com/data-science-resume-checklist ✅ We work with Experienced Data Scientists to help them land their next dream jobs. Apply now: https://www.emmading.com/coaching // Comment Got any questions? Something to add? Write a comment below to chat. // Let's connect on LinkedIn: https://www.linkedin.com/in/emmading001/ ==================== Contents of this video: ==================== 00:00 Introduction 00:32 Feature Selection 02:43 Feature Selection Methods 02:55 Intrinsic Methods 05:20 Filter Methods 07:15 Wrapper Methods