Day-24 | Data Science Interview Questions | AI interview Questions | Data Science Tutorial

Learn how to select the most important features in your dataset using simple and advanced methods like correlation heatmaps, Lasso, Ridge, and Recursive Feature Elimination (RFE).
This video is part of our 100 Days of AI & Data Science Interview Series, designed to make every concept beginner-friendly and industry-ready.

00:00 - 100 days just 5 mins - 500 interview questions in 100 days
00:15 - Day 24 - 5 AI and DS Interview questions
04:32 - Tip of the day

You’ll understand:
✅ Why feature selection matters
✅ Difference between L1 and L2 regularization
✅ How to detect multicollinearity
✅ How to perform feature selection with Python (step-by-step)

Perfect for beginners preparing for Data Scientist, Machine Learning Engineer, or AI Engineer interviews in 2025.

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