From 61e27d5fe7a7de1e1b58f0a1612484fbf4b2c049 Mon Sep 17 00:00:00 2001
From: mimi2626 <57355052+mimi2626@users.noreply.github.com>
Date: Mon, 18 Aug 2025 15:19:50 +0300
Subject: [PATCH] Update learn.md

not sure it works - but latex is not rendered correctly now for the "where" section - added "$$"
---
 questions/37_calculate-correlation-matrix/learn.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/questions/37_calculate-correlation-matrix/learn.md b/questions/37_calculate-correlation-matrix/learn.md
index 83464ebc..920856ba 100644
--- a/questions/37_calculate-correlation-matrix/learn.md
+++ b/questions/37_calculate-correlation-matrix/learn.md
@@ -10,8 +10,8 @@ $$
 $$
 
 #### Where:
-- \( \text{cov}(X, Y) \) is the covariance between \( X \) and \( Y \).
-- \( \sigma_X \) and \( \sigma_Y \) are the standard deviations of \( X \) and \( Y \), respectively.
+- $$ \text{cov}(X, Y) $$ is the covariance between \( X \) and \( Y \).
+- $$ \sigma_X $$ and $$ \sigma_Y $$ are the standard deviations of \( X \) and \( Y \), respectively.
 
 ### Problem Overview
 In this problem, you will write a function to calculate the correlation matrix for a given dataset. The function will take in a 2D numpy array \( X \) and an optional 2D numpy array \( Y \). If \( Y \) is not provided, the function will calculate the correlation matrix of \( X \) with itself.