Feature Scaling in Machine Learning : Preprocessing Technique

Welcome to Postnetwork Academy! I’m Bindeshwar Singh Kushwaha, and in today’s video, we explore Feature Scaling in Machine Learning — an essential step in preparing your data for algorithms.

In this video, you'll learn:

Why feature scaling is important in machine learning

The difference between Min-Max Scaling and Standardization

How each technique affects data distribution

Real-world examples and visual comparisons

How to implement scaling using Scikit-Learn in Python

Whether you're working with regression, SVM, or neural networks, scaling features correctly can significantly improve model performance.

Watch till the end to understand how to choose the right scaling technique and implement it in your ML pipeline.

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Видео Feature Scaling in Machine Learning : Preprocessing Technique канала PostNetwork Academy