Convert Categorical Data to Numerical Data | Data Preprocessing in Machine Learning
🔍 Learn how to convert categorical data into numerical form — an essential preprocessing step in any machine learning pipeline! In this video from Data School of AI, we break down the most commonly used encoding techniques and when to use them.
🎯 What’s Covered:
Why categorical data must be converted
Label Encoding
One-Hot Encoding
Ordinal Encoding
Using Pandas and Scikit-learn
Pros and Cons of each method
Real-world example in Python
📌 Whether you're a beginner or brushing up your ML workflow, this tutorial will give you the clarity and tools you need to handle non-numeric data like a pro.
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