Скачать или смотреть Skewness in Data Science Understanding Data Distribution for Beginners

In this video, we explore Skewness — one of the most important concepts in Data Science, Statistics, and Machine Learning. Skewness helps you understand how data is distributed, whether it is balanced, left-skewed, or right-skewed, and how it affects your models and insights.

This session covers simple explanations + real data examples so beginners can clearly understand the concept.

🔍 What You Will Learn:
What is Skewness in statistics?
Types of skewness (Positive, Negative, Zero)
How to identify skewed data
Visual examples using graphs
Why skewness matters in Data Science
Impact of skewness on machine learning models
How to fix skewness (log transform, Box-Cox, normalization)
Practical examples with datasets

🧠 Why Skewness Is Important in Data Science
Skewness affects:
Feature scaling
Model performance
Outlier detection
Predictive accuracy

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