Feature Scaling in Machine Learning: Standardization vs Normalization Explained

Feature Scaling in Machine Learning: Standardization vs Normalization Explained

Feature scaling is a must-know preprocessing step in machine learning! In this video, we’ll walk through StandardScaler, MinMaxScaler, and RobustScaler with hands-on coding examples in Python. You’ll see how scaling impacts model performance and when to use each method.

🔹 What You’ll Learn:
✅ Why feature scaling is essential for machine learning models
✅ The difference between Standardization vs Normalization
✅ How to implement MinMaxScaler, StandardScaler, and RobustScaler in Python
✅ Comparing model performance with different scaling techniques

📌 Code & Resources: github.com/Tarunvaka/Feature-Scaling

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#FeatureScaling #MachineLearning #DataPreprocessing #Python #StandardScaler #MinMaxScaler #Normalization #ML