Correlation | Pearson Correlation Coefficient | Spearman's Rank Correlation Coefficient | Explained

📘 Notes: https://robosathi.com/docs/maths/stat...
In this video, we explain Correlation — a statistical measure that shows both the strength and direction of the linear relationship between two variables X and Y.
It is a standardized version of covariance that gives a dimensionless measure of relationship.

Learning Objectives
✅ Meaning of Correlation
✅ Difference between Pearson and Spearman correlation coefficients
✅ How to calculate Pearson’s r using covariance and standard deviations
✅ How to calculate Spearman’s ρ (rho) using ranks
✅ Step-by-step numerical examples for both


🎥 Pre-Requisites
✅    • Expected Value | Variance | Co-Variance | ...  

🎥 Full video Link
✅    • Co-Variance | Correlation | Pearson's Corr...  


🎥 Related video Link
✅    • Covariance Explained | Direction of Relati...  
✅    • Correlation vs Causation Explained | Why C...  


🎥 Full Course Link
✅    • Maths for AI & ML : Complete Roadmap  


🕘 Time Stamp 🕔
00:00:00 - 00:02:55 Correlation
00:02:51 - 00:04:05 Range of value of Correlation
00:04:06 - 00:07:22 Pearson Correlation Coefficient
00:07:23 - 00:09:58 Pearson's Example
00:09:59 - 00:17:05 Spearman's Rank Correlation Coefficient
00:17:06 - 00:25:51 Spearman's Example

📘 Part of the Math for AI & ML series by RoboSathi

#ai #ml #Covariance #Statistics #DataAnalysis #LearnStatistics #MathConcepts