Understanding Feature Scaling in Machine Learning: Techniques, Implementation, and Advantages

Introduction

Feature Engineering is the most important step in the Machine Learning life cycle. Feature Engineering is the process of creating new features or modifying existing ones from the raw data to improve the performance of Machine Learning models. Feature engineering mainly involves four different tasks: feature transformation, feature construction, feature selection, and feature extraction.

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