One Hot Encoding Algorithm Explained | ML Notes | Coding Interview Prep 🚀

Описание: One Hot Encoding is a fundamental data preprocessing technique in Machine Learning that transforms categorical variables into a numerical format so models can understand them. In this video, we break down the concepts behind One Hot Encoding with clarity and practical insights.

What you’ll learn 👇
✅ What One Hot Encoding means in Machine Learning
✅ Why we need One Hot Encoding for categorical data
✅ How it works with an example
✅ The difference between One Hot Encoding and Label Encoding

This video is part of our ML Coding Interview Questions playlist.

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