Feature Scaling in Machine Learning | Standard Scaler Explained | AI Primer Lecture 8

Welcome to Lecture 8 of the AI Primer Series!
In this session, we explore one of the most crucial preprocessing steps in machine learning — Feature Scaling — to ensure your models perform efficiently and accurately.

🔍 What You’ll Learn in This Lecture:

✅ What is Feature Scaling? – Why it's essential in ML pipelines
✅ Standard Scaler – Center your data using mean and standard deviation
✅ Hands-on implementation using sklearn.preprocessing.StandardScaler
✅ Real-world examples to see how scaling impacts model performance

🧠 Ideal for beginners and aspiring data scientists who want to master data preprocessing techniques.

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