Скачать или смотреть 10.29 PDF & CDF of Continuous Random Variable | Probability in Hindi

In this video, we dive deep into two key concepts for Continuous Random Variables — the Probability Density Function (PDF) and the Cumulative Distribution Function (CDF). You’ll learn what they represent, how they differ, and how to visualize and calculate them with simple examples and problems. We’ll also compare PMF, PDF, and CDF to understand their roles in probability and data science.

📌 Topics Covered in this Video:
1. Introduction to Probability Density Function (PDF)
2. Introduction to Cumulative Distribution Function (CDF)
3. PDF vs CDF for Continuous Random Variables – Explained with Examples
4. Problems on PDF & CDF for Continuous Random Variables
5. PMF vs PDF vs CDF – Complete Comparison Explained with Example

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Probability & Statistics for ML - Hindi:    • 10. Probability & Statistics for ML - Hindi  

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