M4L5: Encoding Categorical Variables One-Hot vs Label Encoding | Machine Learning free course
Module 4: Preparing Data (Lesson 5 of 9) | Encoding Categorical Variables Explained One-Hot vs Label Encoding | Machine Learning free course
ML From First Principles Playlist - • Machine Learning From First Principles
⏱️ Chapters: Intro • Models need numbers • Label encoding • The label problem • One-hot encoding • Why one-hot works • Ordinal encoding is fine • Recap
Models can't read text — categories have to become numbers. This lesson compares label encoding, one-hot encoding, and ordinal encoding, and explains the classic mistake of label-encoding unordered categories (and why it secretly invents a false order).
🔑 In this lesson: • Why models need numeric input • Label encoding explained • The hidden problem with label encoding • One-hot encoding explained • Why one-hot avoids false ordering • When ordinal encoding is actually fine
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