🔡 Categorical Data Encoding Methods – A Must-Know for Every Data Scientist

Working with real-world datasets? Chances are, you’ve come across categorical variables like “City,” “Gender,” or “Department.” Before you feed this data into machine learning models, encoding is essential.

📘 In This Blog, You’ll Learn:
✅ What is Categorical Data?
✅ Difference Between Nominal vs Ordinal
✅ Popular Encoding Techniques:
 • Label Encoding
 • One-Hot Encoding
 • Ordinal Encoding
 • Binary & Target Encoding
✅ When to Use Which Encoding
✅ Best Practices & Pitfalls to Avoid

🎓 Who Should Read This?
✔️ Data Science Beginners & Enthusiasts
✔️ Final-Year Engineering & MCA Students
✔️ ML Practitioners Working with Tabular Data
✔️ Bootcamp & Project-Based Learners

📖 Full Blog Post:
👉https://updategadh.com/data-science-tutorial/categorical-data-encoding-methods/

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