Normalization vs Standardization: Complete Guide with Python Examples #pythontutorial

"📊 Confused about Normalization and Standardization? This video is your one-stop guide to understanding these essential data preprocessing techniques!

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What You'll Learn:
✅ Introduction to Normalization and Standardization:

What are these techniques and why are they important?
How they impact machine learning algorithms like KNN, K-Means, and PCA.
✅ Why Normalize or Standardize?

Learn why scaling features is crucial for fair contribution in your models.
Understand the difference through an easy analogy: Comparing the weight of an elephant (tons) to the length of a butterfly (millimeters).
✅ When to Normalize vs. Standardize:

Clear guidelines to help you choose the right technique for your dataset.
✅ Concepts with Visual Aids:

Before and after histograms of raw, normalized, and standardized data.
Real-life datasets with features like age and salary.
✅ Hands-On Python Implementation:

Practical coding examples to normalize and standardize data step-by-step.
Whether you're preparing for a data science interview or looking to improve your preprocessing skills, this video will help you master these concepts with ease!

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#Normalization #Standardization #DataPreprocessing #MachineLearning #PythonTutorials #DataScienceBasics #DataScalingTechniques"

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Timestamps:
00:00 Introduction
00:33 Why?
00:55 Example Analogy?
01:55 Normalization
02:30 Standardization
03:20 When ?
04:25 Practical Implementation in Python