Normalization Technique

Introduction

Normalization is a crucial data preprocessing technique in the field of data science and machine learning. It involves transforming numerical data into a standard scale, making it easier for algorithms to converge during training and ensuring that no particular feature dominates due to its larger magnitude. Here's an overview of normalization techniques commonly used in data science:

Min-Max Scaling (Normalization):

This method scales the data between a specified range, typically 0 and 1.

The formula for Min-Max Scaling is …

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